Skip to main content

A command-line tool for querying databases.

Project description

databow

databow GitHub Release GitHub Actions Workflow Status GitHub License

A command-line tool for querying databases via ADBC.

Highlights

  • Multi-database support - Connect to any database with a compatible ADBC driver
  • Interactive SQL shell - Execute SQL queries with command history and intuitive navigation
  • Syntax highlighting - SQL queries highlighted for improved readability
  • Formatted output - Results displayed in clean, aligned tables with dynamic column width
  • File export - Export query results to JSON, CSV, or Arrow IPC files
  • Fast and lightweight - Built in Rust for high performance and minimal resource usage

Installation

Install with uv:

uv tool install databow

Install with Cargo:

cargo install databow

Getting Started

Install the DuckDB ADBC driver with dbc:

dbc install duckdb

Interactive Usage

Connect to DuckDB (in-memory):

databow --driver duckdb

Execute SQL queries:

> CREATE TABLE penguins AS FROM 'https://blobs.duckdb.org/data/penguins.csv';
┌───────┐
│ Count │
├───────┤
│ 344   │
└───────┘
> SELECT *
. FROM penguins
. LIMIT 5;
┌─────────┬───────────┬────────────────┬───────────────┬───────────────────┬─────────────┬────────┬──────┐
│ species │ island    │ bill_length_mm │ bill_depth_mm │ flipper_length_mm │ body_mass_g │ sex    │ year │
├─────────┼───────────┼────────────────┼───────────────┼───────────────────┼─────────────┼────────┼──────┤
│ Adelie  │ Torgersen │ 39.1           │ 18.7          │ 181               │ 3750        │ male   │ 2007 │
│ Adelie  │ Torgersen │ 39.5           │ 17.4          │ 186               │ 3800        │ female │ 2007 │
│ Adelie  │ Torgersen │ 40.3           │ 18            │ 195               │ 3250        │ female │ 2007 │
│ Adelie  │ Torgersen │ NA             │ NA            │ NA                │ NA          │ NA     │ 2007 │
│ Adelie  │ Torgersen │ 36.7           │ 19.3          │ 193               │ 3450        │ female │ 2007 │
└─────────┴───────────┴────────────────┴───────────────┴───────────────────┴─────────────┴────────┴──────┘

Non-interactive Usage

Execute a query directly and exit:

databow --driver duckdb --query "SELECT 42 AS the_answer"

Execute a query from stdin and exit:

echo "SELECT 42 AS the_answer" | databow --driver duckdb

Execute a query from a file and exit:

databow --driver duckdb --file select_example.sql

Execute a query and output the result to a file:

databow --driver duckdb --query "SELECT 42 AS the_answer" --output result.json
databow --driver duckdb --query "SELECT 42 AS the_answer" --output result.csv
databow --driver duckdb --query "SELECT 42 AS the_answer" --output result.arrow

Reference

$ databow --help
Query databases via ADBC

Usage: databow [OPTIONS]

Options:
      --profile <profile>    Connection profile name or path
      --driver <driver>      Driver name (required if --profile not specified)
      --uri <uri>            Database uniform resource identifier
      --username <username>  Database user username
      --password <password>  Database user password
      --option <option>      Driver-specific database option
      --mode <mode>          Table display style [default: utf8-compact]
      --query <query>        Execute query and exit
      --file <file>          Read and execute file and exit
      --output <file>        Write result to file
  -h, --help                 Print help
  -V, --version              Print version

License

This project is licensed under Apache-2.0.

Project details


Download files

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

Source Distribution

databow-0.1.0.tar.gz (41.9 kB view details)

Uploaded Source

Built Distributions

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

databow-0.1.0-py3-none-win_arm64.whl (1.9 MB view details)

Uploaded Python 3Windows ARM64

databow-0.1.0-py3-none-win_amd64.whl (2.0 MB view details)

Uploaded Python 3Windows x86-64

databow-0.1.0-py3-none-win32.whl (1.8 MB view details)

Uploaded Python 3Windows x86

databow-0.1.0-py3-none-musllinux_1_2_x86_64.whl (2.2 MB view details)

Uploaded Python 3musllinux: musl 1.2+ x86-64

databow-0.1.0-py3-none-musllinux_1_2_i686.whl (2.2 MB view details)

Uploaded Python 3musllinux: musl 1.2+ i686

databow-0.1.0-py3-none-musllinux_1_2_armv7l.whl (2.0 MB view details)

Uploaded Python 3musllinux: musl 1.2+ ARMv7l

databow-0.1.0-py3-none-musllinux_1_2_aarch64.whl (2.0 MB view details)

Uploaded Python 3musllinux: musl 1.2+ ARM64

databow-0.1.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ x86-64

databow-0.1.0-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl (2.2 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ s390x

databow-0.1.0-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (2.5 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ ppc64le

databow-0.1.0-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl (2.3 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ i686

databow-0.1.0-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (2.0 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ ARMv7l

databow-0.1.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.0 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ ARM64

databow-0.1.0-py3-none-macosx_11_0_arm64.whl (2.0 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

databow-0.1.0-py3-none-macosx_10_12_x86_64.whl (2.0 MB view details)

Uploaded Python 3macOS 10.12+ x86-64

File details

Details for the file databow-0.1.0.tar.gz.

File metadata

  • Download URL: databow-0.1.0.tar.gz
  • Upload date:
  • Size: 41.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0.tar.gz
Algorithm Hash digest
SHA256 e24b8a72648c9ff3675e1db1038d3baa3dde9999479578d656cb955e4b4d0aa6
MD5 e313f81d42de9968c082342d35f820d4
BLAKE2b-256 5e57c4fe4fcaa5bd30e6a63520e664f99b72003604dcb92936c724dd306de3e4

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-win_arm64.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-win_arm64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: Python 3, Windows ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-win_arm64.whl
Algorithm Hash digest
SHA256 92e7cbc39b9282938c7594e0b954c23eeb6e833d3b023bae67802a993358c68f
MD5 5021c5f604271439657dfb078367e60d
BLAKE2b-256 e6b6a908848cf137f6fb90a477e8df6cb42d1a1128b61d4b1b53f31d8769c4f6

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-win_amd64.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 c21b22eab39c475b6a69d45d91c90fa2be1a16d3435d27fbbca1079e0643813e
MD5 100051d8805b8c8b0fbf43aad9d97c4e
BLAKE2b-256 c08ab47348a13ac3cdf58d22872f94f9a2d3b495a1d2dc40fcdd259ab2b104f1

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-win32.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-win32.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: Python 3, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-win32.whl
Algorithm Hash digest
SHA256 d8027a2e553ec1c96cdc3b18a18ef7977463619625a74cbda49e5e3f5c83fd5b
MD5 222818a84d9ffa6f23a964c07d3dcb1f
BLAKE2b-256 48eba94fa27eb0bd302c269357f6345e3b133c9b4207e1c4ca7fd3092d94bcb7

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-musllinux_1_2_x86_64.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-musllinux_1_2_x86_64.whl
  • Upload date:
  • Size: 2.2 MB
  • Tags: Python 3, musllinux: musl 1.2+ x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 7fe61c0f5861e6b8dc0dea325b2b4e96a651f001803521e2085d9578da8f08e6
MD5 af9366441c8ac67da880cfb5da6cb1d9
BLAKE2b-256 8864696667deda3b1b5dbde10033ab02d67e41b301231724a2ed184dd2c94252

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-musllinux_1_2_i686.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-musllinux_1_2_i686.whl
  • Upload date:
  • Size: 2.2 MB
  • Tags: Python 3, musllinux: musl 1.2+ i686
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 5391f79d6db0854130b25bb10079ba7bf49f55d8285383cd0b3ecacc4865f075
MD5 d782f2f9a72979c300db9fa8e18d3407
BLAKE2b-256 c78b1ce1baa41861579c82d8a8b1395077cde4ef36737a0528f039012647dd04

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-musllinux_1_2_armv7l.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-musllinux_1_2_armv7l.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: Python 3, musllinux: musl 1.2+ ARMv7l
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 b271ceaa8b32cb366e06ec5a86c07d8720335152b09c9cb8d85513b74dc1d5ab
MD5 a29d80938d14313de36710147096cfe1
BLAKE2b-256 a21f95e09723719d5dffd494b111f9f4ae9d03f539c484243fbe9445b697923d

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-musllinux_1_2_aarch64.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-musllinux_1_2_aarch64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: Python 3, musllinux: musl 1.2+ ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 65fa5054c85210393f77e45fee7430f01b39667c25955e7ad9c4d310c8f842c0
MD5 ceb891901cbdded1e58f93c623a3e129
BLAKE2b-256 7cb5b973b52605556278750eaea5ae22a091cb854f20df06dff4397af66ca685

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
  • Upload date:
  • Size: 2.3 MB
  • Tags: Python 3, manylinux: glibc 2.17+ x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c23c9589c92108c2c5652db2bb2bf55c6676585d3a7c610b85eec2cb278ce3ec
MD5 01271dd11f6ec4db60ddd25805bdc98f
BLAKE2b-256 f4e60fd60588dc553a0fd1b62d9fb5a5d09a7952964b0c8b3290dc3ee6edb67d

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl
  • Upload date:
  • Size: 2.2 MB
  • Tags: Python 3, manylinux: glibc 2.17+ s390x
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 f5f24baa0d9564379c779aa40eeb6843fabaae1cd0cff4f85474d622ac50e762
MD5 4dc3e253ce7662980a75095545c4a881
BLAKE2b-256 a87b3c2562d139e6d4050a339a106eb186ccc3c20b05a9da0907c2761e657043

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
  • Upload date:
  • Size: 2.5 MB
  • Tags: Python 3, manylinux: glibc 2.17+ ppc64le
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 4154c7b05a70aeeb3e4855f5e13233bee2cb12ec135fdd0481f6cfdafe258d72
MD5 5a9140a69333c8644a76ea3de1fbd0b1
BLAKE2b-256 784f8b00d399ef0e94d19dce8ed0536e501bcecadb670bcf00fbe5d9f37245a5

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl
  • Upload date:
  • Size: 2.3 MB
  • Tags: Python 3, manylinux: glibc 2.17+ i686
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d9239b638c0837cfcfd626886d15f07364bc40a80ffd4cda75a7f8411c1ddb3d
MD5 5f6ace09785211e032c4db2e2d5a9fa0
BLAKE2b-256 66c813a22c729d7a2b2cec7b9b34f8a6ccb4577d83656376809ebe5d752bc832

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: Python 3, manylinux: glibc 2.17+ ARMv7l
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 e2893e3f50accb7f357e1a0c3a27ee9f31da489cc55b066d1f5d217b27ae8c26
MD5 c28ce65fb8a2fd304e4639a6a640d1af
BLAKE2b-256 c32e13d3309de8d0b8050c1700ed6690a588b13c4b9dc41e74f557e6cba9bf88

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: Python 3, manylinux: glibc 2.17+ ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4c3885b734f0628375de47aa0feb31d018a64dc46c97fba49228aa9945796ea1
MD5 9936028efad4f445dd64e611569d7180
BLAKE2b-256 36b8103f46b953a35a2fe09b4fa21aa8efe6c26998f6bfaaab4186abc52f287a

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-macosx_11_0_arm64.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: Python 3, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 13fd81730613271360cee31f225c067356c8ae28a36cc9aa0dd9071434f01416
MD5 5f4965c91ed95bc570d40249793d365d
BLAKE2b-256 eb8fcb42339485d3291e08f6b1c999a8499f7d5ad59a1a234556b707c54b6136

See more details on using hashes here.

File details

Details for the file databow-0.1.0-py3-none-macosx_10_12_x86_64.whl.

File metadata

  • Download URL: databow-0.1.0-py3-none-macosx_10_12_x86_64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: Python 3, macOS 10.12+ x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.18 {"installer":{"name":"uv","version":"0.11.18","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for databow-0.1.0-py3-none-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 a8f1b3e8d7f926264d1e3b0710213d07632ebb99c0b02add22aee63b44c629b2
MD5 f21547b0641efc557590b9fe951b551a
BLAKE2b-256 3c8100a0effcdfd9be14e170ac3b12a9d904184cbe0f5f70a2270fe53f4dc3a5

See more details on using hashes here.

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