PyPI PyPI - Python Version PyPI - Downloads

The Python SQL Toolkit and Object Relational Mapper

Introduction

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. SQLAlchemy provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language.

Major SQLAlchemy features include:

  • An industrial strength ORM, built from the core on the identity map, unit of work, and data mapper patterns. These patterns allow transparent persistence of objects using a declarative configuration system. Domain models can be constructed and manipulated naturally, and changes are synchronized with the current transaction automatically.

  • A relationally-oriented query system, exposing the full range of SQL’s capabilities explicitly, including joins, subqueries, correlation, and most everything else, in terms of the object model. Writing queries with the ORM uses the same techniques of relational composition you use when writing SQL. While you can drop into literal SQL at any time, it’s virtually never needed.

  • A comprehensive and flexible system of eager loading for related collections and objects. Collections are cached within a session, and can be loaded on individual access, all at once using joins, or by query per collection across the full result set.

  • A Core SQL construction system and DBAPI interaction layer. The SQLAlchemy Core is separate from the ORM and is a full database abstraction layer in its own right, and includes an extensible Python-based SQL expression language, schema metadata, connection pooling, type coercion, and custom types.

  • All primary and foreign key constraints are assumed to be composite and natural. Surrogate integer primary keys are of course still the norm, but SQLAlchemy never assumes or hardcodes to this model.

  • Database introspection and generation. Database schemas can be “reflected” in one step into Python structures representing database metadata; those same structures can then generate CREATE statements right back out - all within the Core, independent of the ORM.

SQLAlchemy’s philosophy:

  • SQL databases behave less and less like object collections the more size and performance start to matter; object collections behave less and less like tables and rows the more abstraction starts to matter. SQLAlchemy aims to accommodate both of these principles.

  • An ORM doesn’t need to hide the “R”. A relational database provides rich, set-based functionality that should be fully exposed. SQLAlchemy’s ORM provides an open-ended set of patterns that allow a developer to construct a custom mediation layer between a domain model and a relational schema, turning the so-called “object relational impedance” issue into a distant memory.

  • The developer, in all cases, makes all decisions regarding the design, structure, and naming conventions of both the object model as well as the relational schema. SQLAlchemy only provides the means to automate the execution of these decisions.

  • With SQLAlchemy, there’s no such thing as “the ORM generated a bad query” - you retain full control over the structure of queries, including how joins are organized, how subqueries and correlation is used, what columns are requested. Everything SQLAlchemy does is ultimately the result of a developer-initiated decision.

  • Don’t use an ORM if the problem doesn’t need one. SQLAlchemy consists of a Core and separate ORM component. The Core offers a full SQL expression language that allows Pythonic construction of SQL constructs that render directly to SQL strings for a target database, returning result sets that are essentially enhanced DBAPI cursors.

  • Transactions should be the norm. With SQLAlchemy’s ORM, nothing goes to permanent storage until commit() is called. SQLAlchemy encourages applications to create a consistent means of delineating the start and end of a series of operations.

  • Never render a literal value in a SQL statement. Bound parameters are used to the greatest degree possible, allowing query optimizers to cache query plans effectively and making SQL injection attacks a non-issue.

Documentation

Latest documentation is at:

https://www.sqlalchemy.org/docs/

Installation / Requirements

Full documentation for installation is at Installation.

Getting Help / Development / Bug reporting

Please refer to the SQLAlchemy Community Guide.

Code of Conduct

Above all, SQLAlchemy places great emphasis on polite, thoughtful, and constructive communication between users and developers. Please see our current Code of Conduct at Code of Conduct.

License

SQLAlchemy is distributed under the MIT license.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.0.51)

Owner

PyPI data
Data sourced directly from PyPI's database.

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for CaselIT from gravatar.com CaselIT Avatar for zzzeek from gravatar.com zzzeek

Credits

Author: Mike Bayer

License

MIT

Requires

Python >=3.7

Provides Extra

asyncio mypy mssql mssql-pymssql mssql-pyodbc mysql mysql-connector mariadb-connector oracle oracle-oracledb postgresql postgresql-pg8000 postgresql-asyncpg postgresql-psycopg2binary postgresql-psycopg2cffi postgresql-psycopg postgresql-psycopgbinary pymysql aiomysql aioodbc asyncmy aiosqlite sqlcipher

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sqlalchemy-2.0.42.tar.gz (9.7 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

sqlalchemy-2.0.42-py3-none-any.whl (1.9 MB view details)

Uploaded Python 3

sqlalchemy-2.0.42-cp313-cp313-win_amd64.whl (2.1 MB view details)

Uploaded CPython 3.13Windows x86-64

sqlalchemy-2.0.42-cp313-cp313-win32.whl (2.1 MB view details)

Uploaded CPython 3.13Windows x86

sqlalchemy-2.0.42-cp313-cp313-musllinux_1_2_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

sqlalchemy-2.0.42-cp313-cp313-musllinux_1_2_aarch64.whl (3.2 MB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ ARM64

sqlalchemy-2.0.42-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

sqlalchemy-2.0.42-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

sqlalchemy-2.0.42-cp313-cp313-macosx_11_0_arm64.whl (2.1 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

sqlalchemy-2.0.42-cp313-cp313-macosx_10_13_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

sqlalchemy-2.0.42-cp312-cp312-win_amd64.whl (2.1 MB view details)

Uploaded CPython 3.12Windows x86-64

sqlalchemy-2.0.42-cp312-cp312-win32.whl (2.1 MB view details)

Uploaded CPython 3.12Windows x86

sqlalchemy-2.0.42-cp312-cp312-musllinux_1_2_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

sqlalchemy-2.0.42-cp312-cp312-musllinux_1_2_aarch64.whl (3.3 MB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ ARM64

sqlalchemy-2.0.42-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

sqlalchemy-2.0.42-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.3 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

sqlalchemy-2.0.42-cp312-cp312-macosx_11_0_arm64.whl (2.1 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

sqlalchemy-2.0.42-cp312-cp312-macosx_10_13_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

sqlalchemy-2.0.42-cp311-cp311-win_amd64.whl (2.1 MB view details)

Uploaded CPython 3.11Windows x86-64

sqlalchemy-2.0.42-cp311-cp311-win32.whl (2.1 MB view details)

Uploaded CPython 3.11Windows x86

sqlalchemy-2.0.42-cp311-cp311-musllinux_1_2_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

sqlalchemy-2.0.42-cp311-cp311-musllinux_1_2_aarch64.whl (3.2 MB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ ARM64

sqlalchemy-2.0.42-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

sqlalchemy-2.0.42-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

sqlalchemy-2.0.42-cp311-cp311-macosx_11_0_arm64.whl (2.1 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

sqlalchemy-2.0.42-cp311-cp311-macosx_10_9_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

sqlalchemy-2.0.42-cp310-cp310-win_amd64.whl (2.1 MB view details)

Uploaded CPython 3.10Windows x86-64

sqlalchemy-2.0.42-cp310-cp310-win32.whl (2.1 MB view details)

Uploaded CPython 3.10Windows x86

sqlalchemy-2.0.42-cp310-cp310-musllinux_1_2_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

sqlalchemy-2.0.42-cp310-cp310-musllinux_1_2_aarch64.whl (3.1 MB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ ARM64

sqlalchemy-2.0.42-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

sqlalchemy-2.0.42-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

sqlalchemy-2.0.42-cp310-cp310-macosx_11_0_arm64.whl (2.1 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

sqlalchemy-2.0.42-cp310-cp310-macosx_10_9_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

sqlalchemy-2.0.42-cp39-cp39-win_amd64.whl (2.1 MB view details)

Uploaded CPython 3.9Windows x86-64

sqlalchemy-2.0.42-cp39-cp39-win32.whl (2.1 MB view details)

Uploaded CPython 3.9Windows x86

sqlalchemy-2.0.42-cp39-cp39-musllinux_1_2_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ x86-64

sqlalchemy-2.0.42-cp39-cp39-musllinux_1_2_aarch64.whl (3.2 MB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ ARM64

sqlalchemy-2.0.42-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

sqlalchemy-2.0.42-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.2 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

sqlalchemy-2.0.42-cp39-cp39-macosx_11_0_arm64.whl (2.1 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

sqlalchemy-2.0.42-cp39-cp39-macosx_10_9_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

sqlalchemy-2.0.42-cp38-cp38-win_amd64.whl (2.1 MB view details)

Uploaded CPython 3.8Windows x86-64

sqlalchemy-2.0.42-cp38-cp38-win32.whl (2.1 MB view details)

Uploaded CPython 3.8Windows x86

sqlalchemy-2.0.42-cp38-cp38-musllinux_1_2_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ x86-64

sqlalchemy-2.0.42-cp38-cp38-musllinux_1_2_aarch64.whl (3.2 MB view details)

Uploaded CPython 3.8musllinux: musl 1.2+ ARM64

sqlalchemy-2.0.42-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.2 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

sqlalchemy-2.0.42-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.2 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

sqlalchemy-2.0.42-cp38-cp38-macosx_11_0_arm64.whl (2.1 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

sqlalchemy-2.0.42-cp38-cp38-macosx_10_9_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

SQLAlchemy-2.0.42-cp37-cp37m-win_amd64.whl (2.1 MB view details)

Uploaded CPython 3.7mWindows x86-64

SQLAlchemy-2.0.42-cp37-cp37m-win32.whl (2.1 MB view details)

Uploaded CPython 3.7mWindows x86

SQLAlchemy-2.0.42-cp37-cp37m-musllinux_1_2_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.7mmusllinux: musl 1.2+ x86-64

SQLAlchemy-2.0.42-cp37-cp37m-musllinux_1_2_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.7mmusllinux: musl 1.2+ ARM64

SQLAlchemy-2.0.42-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

SQLAlchemy-2.0.42-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ ARM64

SQLAlchemy-2.0.42-cp37-cp37m-macosx_10_9_x86_64.whl (2.1 MB view details)

Uploaded CPython 3.7mmacOS 10.9+ x86-64

File details

Details for the file sqlalchemy-2.0.42.tar.gz.

File metadata

  • Download URL: sqlalchemy-2.0.42.tar.gz
  • Upload date:
  • Size: 9.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.5

File hashes

Hashes for sqlalchemy-2.0.42.tar.gz
Algorithm Hash digest
SHA256 160bedd8a5c28765bd5be4dec2d881e109e33b34922e50a3b881a7681773ac5f
MD5 d47e1b1538a439b0dd14e035348c502e
BLAKE2b-256 5a03a0af991e3a43174d6b83fca4fb399745abceddd1171bdabae48ce877ff47

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-py3-none-any.whl.

File metadata

  • Download URL: sqlalchemy-2.0.42-py3-none-any.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.11

File hashes

Hashes for sqlalchemy-2.0.42-py3-none-any.whl
Algorithm Hash digest
SHA256 defcdff7e661f0043daa381832af65d616e060ddb54d3fe4476f51df7eaa1835
MD5 d5c80f274349f29f2c92387bf4d56857
BLAKE2b-256 ee55ba2546ab09a6adebc521bf3974440dc1d8c06ed342cceb30ed62a8858835

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 eb9905f7f1e49fd57a7ed6269bc567fcbbdac9feadff20ad6bd7707266a91577
MD5 f3e7990e378f5c72ea60c2033defed55
BLAKE2b-256 4b9e9bce34f67aea0251c8ac104f7bdb2229d58fb2e86a4ad8807999c4bee34b

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp313-cp313-win32.whl.

File metadata

  • Download URL: sqlalchemy-2.0.42-cp313-cp313-win32.whl
  • Upload date:
  • Size: 2.1 MB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for sqlalchemy-2.0.42-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 45c842c94c9ad546c72225a0c0d1ae8ef3f7c212484be3d429715a062970e87f
MD5 bdfee4751249e223502a3a156da9b200
BLAKE2b-256 39443a451d7fa4482a8ffdf364e803ddc2cfcafc1c4635fb366f169ecc2c3b11

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 9d88a1c0d66d24e229e3938e1ef16ebdbd2bf4ced93af6eff55225f7465cf350
MD5 fb14bf0222f7a8ce0eeead4a126de3c6
BLAKE2b-256 7da28c8f6325f153894afa3775584c429cc936353fb1db26eddb60a549d0ff4b

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp313-cp313-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp313-cp313-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 f50f7b20677b23cfb35b6afcd8372b2feb348a38e3033f6447ee0704540be894
MD5 ece3cd9fff421bb53505b5769e7741b3
BLAKE2b-256 5c82f680e9a636d217aece1b9a8030d18ad2b59b5e216e0c94e03ad86b344af3

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9cae6c2b05326d7c2c7c0519f323f90e0fb9e8afa783c6a05bb9ee92a90d0f04
MD5 3ecc16781129fe1a694af87835bea7f8
BLAKE2b-256 67084e6c533d4c7f5e7c4cbb6fe8a2c4e813202a40f05700d4009a44ec6e236d

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4cf10396a8a700a0f38ccd220d940be529c8f64435c5d5b29375acab9267a6c9
MD5 3b04fa5ac3a112e17032c02a91c99d98
BLAKE2b-256 a2ccd33646fcc24c87cc4e30a03556b611a4e7bcfa69a4c935bffb923e3c89f4

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 95d3d06a968a760ce2aa6a5889fefcbdd53ca935735e0768e1db046ec08cbf01
MD5 5d1b9711ad9fdabde63bb83a34aa6c24
BLAKE2b-256 e5a19d8c93434d1d983880d976400fcb7895a79576bd94dca61c3b7b90b1ed0d

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 941804f55c7d507334da38133268e3f6e5b0340d584ba0f277dd884197f4ae8c
MD5 515cbfbf8506431e4e2aee847f198c72
BLAKE2b-256 e97e25d8c28b86730c9fb0e09156f601d7a96d1c634043bf8ba36513eb78887b

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 4c94447a016f36c4da80072e6c6964713b0af3c8019e9c4daadf21f61b81ab53
MD5 2afafc3b43c2676f197a684c2f2393ca
BLAKE2b-256 481f67a78f3dfd08a2ed1c7be820fe7775944f5126080b5027cc859084f8e223

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp312-cp312-win32.whl.

File metadata

  • Download URL: sqlalchemy-2.0.42-cp312-cp312-win32.whl
  • Upload date:
  • Size: 2.1 MB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for sqlalchemy-2.0.42-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 78b46555b730a24901ceb4cb901c6b45c9407f8875209ed3c5d6bcd0390a6ed1
MD5 31c0d72663bd10c96911ea6280a2e74a
BLAKE2b-256 4119b8a2907972a78285fdce4c880ecaab3c5067eb726882ca6347f7a4bf64f6

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 21bfdf57abf72fa89b97dd74d3187caa3172a78c125f2144764a73970810c4ee
MD5 7cac60a4db0454ee540c24bed1d131b9
BLAKE2b-256 3aa02c2338b592c7b0a61feffd005378c084b4c01fabaf1ed5f655ab7bd446f0

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp312-cp312-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp312-cp312-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 16d9b544873fe6486dddbb859501a07d89f77c61d29060bb87d0faf7519b6a4d
MD5 ae3236fe756bf13efc602535e467e47f
BLAKE2b-256 a385e622a273d648d39d6771157961956991a6d760e323e273d15e9704c30ccc

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0b718011a9d66c0d2f78e1997755cd965f3414563b31867475e9bc6efdc2281d
MD5 7ebbb39dbfec4346e454fc2ddb6dffae
BLAKE2b-256 8600fcd8daab13a9119d41f3e485a101c29f5d2085bda459154ba354c616bf4e

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e87e6a5ef6f9d8daeb2ce5918bf5fddecc11cae6a7d7a671fcc4616c47635e01
MD5 1990f85683391a9841886d3976c56348
BLAKE2b-256 eaa2b5f7d233d063ffadf7e9fff3898b42657ba154a5bec95a96f44cba7f818b

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a3cb3ec67cc08bea54e06b569398ae21623534a7b1b23c258883a7c696ae10df
MD5 4baf2995fa55767fde16d999995aeae9
BLAKE2b-256 fcbafd943172e017f955d7a8b3a94695265b7114efe4854feaa01f057e8f5293

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 09637a0872689d3eb71c41e249c6f422e3e18bbd05b4cd258193cfc7a9a50da2
MD5 8f0ba1b7c73c15388285bf411b422539
BLAKE2b-256 6166ac31a9821fc70a7376321fb2c70fdd7eadbc06dadf66ee216a22a41d6058

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 9193fa484bf00dcc1804aecbb4f528f1123c04bad6a08d7710c909750fa76aeb
MD5 5a33806adc146a16c75cc39f2b11f202
BLAKE2b-256 917255b0c34e39feb81991aa3c974d85074c356239ac1170dfb81a474b4c23b3

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp311-cp311-win32.whl.

File metadata

  • Download URL: sqlalchemy-2.0.42-cp311-cp311-win32.whl
  • Upload date:
  • Size: 2.1 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for sqlalchemy-2.0.42-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 2eb539fd83185a85e5fcd6b19214e1c734ab0351d81505b0f987705ba0a1e231
MD5 2e1dbefa1f2feeef53a1a0609f4ec5fb
BLAKE2b-256 16edb9c4a939b314400f43f972c9eb0091da59d8466ef9c51d0fd5b449edc495

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 260ca1d2e5910f1f1ad3fe0113f8fab28657cee2542cb48c2f342ed90046e8ec
MD5 99785af8564ceeaa1564bfb97c027d87
BLAKE2b-256 d4c4df596777fce27bde2d1a4a2f5a7ddea997c0c6d4b5246aafba966b421cc0

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp311-cp311-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp311-cp311-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 fc6afee7e66fdba4f5a68610b487c1f754fccdc53894a9567785932dbb6a265e
MD5 4b00e10d25d32d56c58ce48c87a26009
BLAKE2b-256 2fba55406e09d32ed5e5f9e8aaec5ef70c4f20b4ae25b9fa9784f4afaa28e7c3

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1f092cf83ebcafba23a247f5e03f99f5436e3ef026d01c8213b5eca48ad6efa9
MD5 7bbdf953bcd7ad47b22c1a1bedeee20c
BLAKE2b-256 b981421efc09837104cd1a267d68b470e5b7b6792c2963b8096ca1e060ba0975

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f9187498c2149919753a7fd51766ea9c8eecdec7da47c1b955fa8090bc642eaa
MD5 b685cce1f2ed89cbbefa14a16032ba05
BLAKE2b-256 14fc83e45fc25f0acf1c26962ebff45b4c77e5570abb7c1a425a54b00bcfa9c7

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ad59dbe4d1252448c19d171dfba14c74e7950b46dc49d015722a4a06bfdab2b0
MD5 4d8090843fed04101982da5cd812690f
BLAKE2b-256 661719be542fe9dd64a766090e90e789e86bdaa608affda6b3c1e118a25a2509

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 c34100c0b7ea31fbc113c124bcf93a53094f8951c7bf39c45f39d327bad6d1e7
MD5 62f38734b97a05aecdf6d175fdb6c1ca
BLAKE2b-256 ea3c7bfd65f3c2046e2fb4475b21fa0b9d7995f8c08bfa0948df7a4d2d0de869

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 1aef304ada61b81f1955196f584b9e72b798ed525a7c0b46e09e98397393297b
MD5 5e3d16f5ab381389f2ea35352bccec1c
BLAKE2b-256 a5a8366db192641c2c2d1ea8977e7c77b65a0d16a7858907bb76ea68b9dd37af

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp310-cp310-win32.whl.

File metadata

  • Download URL: sqlalchemy-2.0.42-cp310-cp310-win32.whl
  • Upload date:
  • Size: 2.1 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for sqlalchemy-2.0.42-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 739e58879b20a179156b63aa21f05ccacfd3e28e08e9c2b630ff55cd7177c4f1
MD5 3cfd9127444abfbe7dd9ec58210e0216
BLAKE2b-256 0c75e6fdd66d237582c8488dd1dfa90899f6502822fbd866363ab70e8ac4a2ce

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 bc7347ad7a7b1c78b94177f2d57263113bb950e62c59b96ed839b131ea4234e1
MD5 ea9ad512c8266fcdd9f6d92edd7de2d7
BLAKE2b-256 fa7810834f010e2a3df689f6d1888ea6ea0074ff10184e6a550b8ed7f9189a89

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp310-cp310-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp310-cp310-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 e35b9b000c59fcac2867ab3a79fc368a6caca8706741beab3b799d47005b3407
MD5 a09398730d3e2db5e6d6968c473e3273
BLAKE2b-256 a95101b1d85bbb492a36b25df54a070a0f887052e9b190dff71263a09f48576b

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 97978d223b11f1d161390a96f28c49a13ce48fdd2fed7683167c39bdb1b8aa09
MD5 d4ac8e58f8b331df9ba9c043c6a83e76
BLAKE2b-256 1f5971493fe74bd76a773ae8fa0c50bfc2ccac1cbf7cfa4f9843ad92897e6dcf

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 98b344859d282fde388047f1710860bb23f4098f705491e06b8ab52a48aafea9
MD5 f5212929a406d9f158d74889e5ba7fea
BLAKE2b-256 a80d5ff2f2dfbac10e4a9ade1942f8985ffc4bd8f157926b1f8aed553dfe3b88

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 be28f88abd74af8519a4542185ee80ca914933ca65cdfa99504d82af0e4210df
MD5 7d72d03aefef49404edbf60900e2c1c3
BLAKE2b-256 63c44d2f2c21ddde9a2c7f7b258b202d6af0bac9fc5abfca5de367461c86d766

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 172b244753e034d91a826f80a9a70f4cbac690641207f2217f8404c261473efe
MD5 a7546b5c1251170ff95f5ad0bb9dee48
BLAKE2b-256 3a1233ff43214c2c6cc87499b402fe419869d2980a08101c991daae31345e901

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: sqlalchemy-2.0.42-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 2.1 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for sqlalchemy-2.0.42-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 636ec3dc83b2422a7ff548d0f8abf9c23742ca50e2a5cdc492a151eac7a0248b
MD5 32a4fa1e99cb9e2421a429a641369d8c
BLAKE2b-256 ccb05564468601ef39bebdd4156e7837ee195730ef406dd909a657f0ad228c2f

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp39-cp39-win32.whl.

File metadata

  • Download URL: sqlalchemy-2.0.42-cp39-cp39-win32.whl
  • Upload date:
  • Size: 2.1 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for sqlalchemy-2.0.42-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 49362193b1f43aa158deebf438062d7b5495daa9177c6c5d0f02ceeb64b544ea
MD5 bfbffb4b47aa698ecee87cd9a3f6c125
BLAKE2b-256 d84972f36b013c206bfa28b0b28cc8e792fac04839490d379bed5a9b73194c0a

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 b01e0dd39f96aefda5ab002d8402db4895db871eb0145836246ce0661635ce55
MD5 bceaa5eb3970e3ddb1636a53e9fcb45b
BLAKE2b-256 a807d8a19feaa3d90f0ecce1aedf86c731ffe0ab53a24f46e61528f8b6d6767f

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp39-cp39-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp39-cp39-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 27e4a7b3a7a61ff919c2e7caafd612f8626114e6e5ebbe339de3b5b1df9bc27e
MD5 7ce290a01699b97ea36390bfa3cd0e0e
BLAKE2b-256 b60afb2d21e12fa7114c5454507dab3ff603271465f515863fd0b860a0978ba0

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1b3c117f65d64e806ce5ce9ce578f06224dc36845e25ebd2554b3e86960e1aed
MD5 9432285ff0bef3b34850064b9c5132ad
BLAKE2b-256 4016afcf72c08c2baf7b52ff7a06757ffe55f9cf39272f07ac969a64ceabffe5

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e8c7ff7ba08b375f8a8fa0511e595c9bdabb5494ec68f1cf69bb24e54c0d90f2
MD5 bb2b0b224df4d72ea548b2f5563a64c0
BLAKE2b-256 b00744c7b700976f1445a3d33ce13192900f19ab7d8611002ec4bd2c94347baa

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 cf4bf5a174d8a679a713b7a896470ffc6baab78e80a79e7ec5668387ffeccc8b
MD5 398dc7f7068f79e71b50e35e00a48c10
BLAKE2b-256 4f782c46586d7941d710b48cb3c5d5b2886b0d62623f9803e8b36117e33ce8d0

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 78548fd65cd76d4c5a2e6b5f245d7734023ee4de33ee7bb298f1ac25a9935e0d
MD5 8bbd81418d787126d0cc7aff7155e38a
BLAKE2b-256 4da39204cbd36d18c8dd2abbacd76c4ae7ec7d7c7fd0d4de3c9f04ceb34b05fd

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: sqlalchemy-2.0.42-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 2.1 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for sqlalchemy-2.0.42-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 be3a02f963c8d66e28bb4183bebab66dc4379701d92e660f461c65fecd6ff399
MD5 68442163e50a55e97c12547404c42c76
BLAKE2b-256 1771faa35f8a50e2aefc47c64dfb438fb62307184f0b652a6d9815e01b8de4ee

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp38-cp38-win32.whl.

File metadata

  • Download URL: sqlalchemy-2.0.42-cp38-cp38-win32.whl
  • Upload date:
  • Size: 2.1 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for sqlalchemy-2.0.42-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 d119c80c614d62d32e236ae68e21dd28a2eaf070876b2f28a6075d5bae54ef3f
MD5 82c334a1cf9401e3f644a2cbe6ae599f
BLAKE2b-256 c91e528d52a5bab73c03f23a535b8eea66833b44b275d2eb5b6cbb10d264d8dd

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp38-cp38-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp38-cp38-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 480f7df62f0b3ad6aa011eefa096049dc1770208bb71f234959ee2864206eefe
MD5 d1b5e4bcec2f3fba6ea73152bfd01050
BLAKE2b-256 cc90cf1200fe17ecdb9d50f3b5e80ff69beaacacbda4b622bdb10662bdea4a01

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp38-cp38-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp38-cp38-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 437c2a8b0c780ff8168a470beb22cb4a25e1c63ea6a7aec87ffeb07aa4b76641
MD5 5fa379ad0323ea0893b02dd4c1c9c8c5
BLAKE2b-256 2b606ba2f551c3a20a9c010553176ef1481cb450f32aa4458c63f09255274408

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fb57923d852d38671a17abda9a65cc59e3e5eab51fb8307b09de46ed775bcbb8
MD5 9e63ebed70edd6c1a5547c2267ecb754
BLAKE2b-256 c67eb2ee6319628a717aa735483d02a0f73b821e09fc24b708de9ec08c483b23

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 37f4f42568b6c656ee177b3e111d354b5dda75eafe9fe63492535f91dfa35829
MD5 76a9013d5b0fabfc6ed923bc1ecb5be2
BLAKE2b-256 07d6847190635bb7efd4b02681a68c53b1a3432d1d23fdd2e540dca5bee13795

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2ddbaafe32f0dd12d64284b1c3189104b784c9f3dba8cc1ba7e642e2b14b906f
MD5 ce09f866f76e2efff653973af9f9fdba
BLAKE2b-256 90dfb5c1cf6e3199ae876b78490c4f21addfeebdfeed7219cc7f66bc2b0ac584

See more details on using hashes here.

File details

Details for the file sqlalchemy-2.0.42-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for sqlalchemy-2.0.42-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ed5a6959b1668d97a32e3fd848b485f65ee3c05a759dee06d90e4545a3c77f1e
MD5 9086c51b69fee8266e23dff77db1ed41
BLAKE2b-256 c469cce1c19d83822e1e2e3881446fdf6c36ec4f78920ada3ee3a602b351c1ac

See more details on using hashes here.

File details

Details for the file SQLAlchemy-2.0.42-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: SQLAlchemy-2.0.42-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 2.1 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for SQLAlchemy-2.0.42-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 5651eb19cacbeb2fe7431e4019312ed00a0b3fbd2d701423e0e2ceaadb5bcd9f
MD5 cb3662c38e4af7abd8f0031dd7683347
BLAKE2b-256 0b438b0d2fad503470cab701eb733c8a591e2167b5e13d8482d2137bb3b53826

See more details on using hashes here.

File details

Details for the file SQLAlchemy-2.0.42-cp37-cp37m-win32.whl.

File metadata

  • Download URL: SQLAlchemy-2.0.42-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 2.1 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.10

File hashes

Hashes for SQLAlchemy-2.0.42-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 c5dd245e6502990ccf612d51f220a7b04cbea3f00f6030691ffe27def76ca79b
MD5 ab875af284caf617eefbe7a34818d5c6
BLAKE2b-256 a8716c2d625da83c22a674f8501f40dd5cceab51e411d4dbc929ccfec69b2d0e

See more details on using hashes here.

File details

Details for the file SQLAlchemy-2.0.42-cp37-cp37m-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-2.0.42-cp37-cp37m-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 88f8a8007a658dfd82c16a20bd9673ae6b33576c003b5166d42697d49e496e61
MD5 7507dfff892e26b6744c837720d11fad
BLAKE2b-256 62c304491398cf8650288898dcea6ffa64091bb0a940c423f2a7a82cbfd6cdb9

See more details on using hashes here.

File details

Details for the file SQLAlchemy-2.0.42-cp37-cp37m-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-2.0.42-cp37-cp37m-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 4efbdc9754c7145a954911bfeef815fb0843e8edab0e9cecfa3417a5cbd316af
MD5 ebf390de672eac4826ca736f50e10a87
BLAKE2b-256 0e9267d22eae4bcca09eae948a563c6b9f9603a52d783886efd52b7f9013bd84

See more details on using hashes here.

File details

Details for the file SQLAlchemy-2.0.42-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-2.0.42-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 89143290fb94c50a8dec73b06109ccd245efd8011d24fc0ddafe89dc55b36651
MD5 2505c0c5f90e5b9f7b082339ea227711
BLAKE2b-256 73b1a1ac759f626a22e5c64994d078262191a61e7c52d68e85f6070c304a02d8

See more details on using hashes here.

File details

Details for the file SQLAlchemy-2.0.42-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-2.0.42-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 56bc76d86216443daa2e27e6b04a9b96423f0b69b5d0c40c7f4b9a4cdf7d8d90
MD5 ac74e4f3864d02f22722a1a6bf1eb6a5
BLAKE2b-256 2123cd9863ccf051c1356990eb90c53f809b6e3c2c44d46545fdb061b8601ded

See more details on using hashes here.

File details

Details for the file SQLAlchemy-2.0.42-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for SQLAlchemy-2.0.42-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 7ee065898359fdee83961aed5cf1fb4cfa913ba71b58b41e036001d90bebbf7a
MD5 e99cb9eb41c01702d45cb070300beb03
BLAKE2b-256 63aaab78d3ca136fca3e270f4d79b45ad1a6baf23d8fa72a849fce52bf78948e

See more details on using hashes here.

Release history Release notifications | RSS feed

2.1.0b3 pre-release

2.1.0b2 pre-release

2.1.0b1 pre-release

2.0.51

2.0.50

2.0.49

2.0.48

2.0.47

2.0.46

2.0.45

2.0.44

2.0.43

This release

2.0.42

2.0.41

2.0.40

2.0.39

2.0.38

2.0.37

2.0.36

2.0.35

2.0.34

2.0.33

2.0.32

2.0.31

2.0.30

2.0.29

2.0.28

2.0.27

2.0.26

2.0.25

2.0.24

2.0.23

2.0.22

2.0.21

2.0.20

2.0.19

2.0.18

2.0.17

2.0.16

2.0.15

2.0.14

2.0.13

2.0.12

2.0.11

2.0.10

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5.post1

2.0.5 yanked

Reason this release was yanked:

wheel files failed to build due to a test issue

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

2.0.0rc3 pre-release

2.0.0rc2 pre-release

2.0.0rc1 pre-release

2.0.0b4 pre-release

2.0.0b3 pre-release

2.0.0b2 pre-release

2.0.0b1 pre-release

1.4.54

1.4.53

1.4.52

1.4.51

1.4.50

1.4.49

1.4.48

1.4.47

1.4.46

1.4.45

1.4.44

1.4.43

1.4.42

1.4.41

1.4.40

1.4.39

1.4.38

1.4.37

1.4.36

1.4.35

1.4.34 yanked

Reason this release was yanked:

critical caching issue identified, 1.4.35 resolves

1.4.33 yanked

Reason this release was yanked:

Regression when inserting orm models using insert. See https://github.com/sqlalchemy/sqlalchemy/issues/7878

1.4.32

1.4.31

1.4.30

1.4.29

1.4.28

1.4.27

1.4.26

1.4.25

1.4.24

1.4.23

1.4.22

1.4.21

1.4.20

1.4.19

1.4.18

1.4.17

1.4.16

1.4.15

1.4.14

1.4.13

1.4.12

1.4.11

1.4.10

1.4.9

1.4.8

1.4.7

1.4.6

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.4.0b3 pre-release

1.4.0b2 pre-release

1.4.0b1 pre-release

1.3.24

1.3.23

1.3.22

1.3.21

1.3.20

1.3.19

1.3.18

1.3.17

1.3.16

1.3.15

1.3.14

1.3.13

1.3.12

1.3.11

1.3.10

1.3.9

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.3.0b3 pre-release

1.3.0b2 pre-release

1.3.0b1 pre-release

1.2.19

1.2.18

1.2.17

1.2.16

1.2.15

1.2.14

1.2.13

1.2.12

1.2.11

1.2.10

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.2.0b3 pre-release

1.2.0b2 pre-release

1.2.0b1 pre-release

1.1.18

1.1.17

1.1.16

1.1.15

1.1.14

1.1.13

1.1.12

1.1.11

1.1.10

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.1.0b3 pre-release

1.1.0b2 pre-release

1.1.0b1 pre-release

1.0.19

1.0.18

1.0.17

1.0.16

1.0.15

1.0.14

1.0.13

1.0.12

1.0.11

1.0.10

1.0.9

1.0.8

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

1.0.0b5 pre-release

1.0.0b4 pre-release

1.0.0b3 pre-release

1.0.0b2 pre-release

1.0.0b1 pre-release

0.9.10

0.9.9

0.9.8

0.9.7

0.9.6

0.9.5

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.8.7

0.8.6

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.8.0b2 pre-release

0.7.10

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.9

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.6beta3 pre-release

0.6beta2 pre-release

0.6beta1 pre-release

0.5.8

0.5.7

0.5.6

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.5.0rc4 pre-release

0.5.0rc3 pre-release

0.5.0rc2 pre-release

0.5.0rc1 pre-release

0.5.0beta3 pre-release

0.5.0beta2 pre-release

0.5.0beta1 pre-release

0.4.8

0.4.7

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.2b pre-release

0.4.2a pre-release

0.4.1

0.4.0

0.4.0beta6 pre-release

0.4.0beta5 pre-release

0.4.0beta4 pre-release

0.4.0beta3 pre-release

0.4.0beta2 pre-release

0.4.0beta1 pre-release

0.3.11

0.3.10

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page