algovault
Experimentation tracking
Features
- Fully embrace the relational model
- i.e. run is many-to-many with experiment, so reuse of run results across experiments is possible
- all operations idempotent
- Suitable for use in a workflow orchestration system
- built-in checking for presence of results
- can be used to cache runs
- high performance read and write
- I'm looking at you, mlflow.get_metric_history
- dead-simple integration points
- The data model is simply sqlite files
- serverless
- built-in aggregations
- computing common aggregates is crazy fast and requires little memory
- no magic
- no global context means you can paralellize fearlessly
Design
- writers write to a local copy of sqlite database (maybe in-memory?)
- runs end and the databases sent to checkpoint location
- upon read, compact checkpoints to a single database instance (read replica)
- read replica knows which instances have already been ingested, incremental update
Metadata
Release files for algovault 0.0.314159
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| algovault-0.0.314159.tar.gz | 8.1 kB | Without provenance | Details for algovault-0.0.314159.tar.gz |
Built distributions (wheels)
Total release size: 14.0 MB
Release files / algovault-0.0.314159.tar.gz
| Download URL | algovault-0.0.314159.tar.gz |
|---|---|
| Size | 8.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
da9cac65c8295dd5fddb1a8b3c1f879c1932e065860346efec23740feb3f526b
|
|
BLAKE2b-256 checksum How to use checksums |
4bd159910fa28b2a50532930a9d6a9d9c081e6737794aa25e98b1f4630ca7892
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/0.14.6
|
Release files / algovault-0.0.314159-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | algovault-0.0.314159-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | Linux glibc 2.17+ x86-64 PyPy 3.9 PyPy 3.9 7.3 |
|
SHA-256 checksum How to use checksums |
4c4d40ad0fd4d21989768322a6eda7178c2007499736b7c179213874f2592351
|
|
BLAKE2b-256 checksum How to use checksums |
b7a090b1b0c56b61d5aeeb020e8a381425d0e866e5fb603932faf7f99b5712ce
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/0.14.6
|
Release files / algovault-0.0.314159-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | algovault-0.0.314159-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | Linux glibc 2.17+ x86-64 PyPy 3.8 PyPy 3.8 7.3 |
|
SHA-256 checksum How to use checksums |
5f27c985774d875521c2e5e85b2263408c30cd5e03acf85e9f97a52c45a099e9
|
|
BLAKE2b-256 checksum How to use checksums |
397916dea72ed20f20f11a812bd9d3152eac07ebc67a1474730332d34e1a28f9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/0.14.6
|
Release files / algovault-0.0.314159-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | algovault-0.0.314159-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | Linux glibc 2.17+ x86-64 PyPy 3.7 PyPy 3.7 7.3 |
|
SHA-256 checksum How to use checksums |
99427a1bc867487d7783e3893edb21eaedf7d41bb6ea70bcca83d5c882f3c454
|
|
BLAKE2b-256 checksum How to use checksums |
631eab8dfc73aea375df565faa681b552ab598229f225786c26dc2ca7a7e5b01
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/0.14.6
|
Release files / algovault-0.0.314159-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | algovault-0.0.314159-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | CPython 3.11 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
4ff20259d08cb9b7b56db39ecc11bfa4c60a332e86e7154b7eaa1ebd189ca046
|
|
BLAKE2b-256 checksum How to use checksums |
1a30eb7264e7f077c21cb2a4e4c6a6fb6802e3fe63413dbcd8657417599c9763
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/0.14.6
|
Release files / algovault-0.0.314159-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | algovault-0.0.314159-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
45dea190a2618d1eedd9bf87535e9cd3a17913e56969dd0c289ebe979a097001
|
|
BLAKE2b-256 checksum How to use checksums |
f3a5b9f02b7c1eae955ebd1efe3e4b54ce7ecbb4965e6ec1470f9d9d17ef1a7a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/0.14.6
|
Release files / algovault-0.0.314159-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | algovault-0.0.314159-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
decbe50773085824b8db64aef2bbff473a50a8d0330527c2cfd0916af8bd1d7c
|
|
BLAKE2b-256 checksum How to use checksums |
3addec7658fbe03869844b6341c99a3c827eb2f62d6594b58d83651bc0103cc1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/0.14.6
|
Release files / algovault-0.0.314159-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | algovault-0.0.314159-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
74017a81e61390e3a3c8d4d59c197cb58730b5d107bdc70bac1d7587132d54f5
|
|
BLAKE2b-256 checksum How to use checksums |
9706b383938a48702bc94aaf94d31290c7e9837b5bbe3796f7a25bb333751b65
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/0.14.6
|
Release files / algovault-0.0.314159-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | algovault-0.0.314159-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
37dfc41f89574eea4a57327a54fbea584de33c4f30fee5950f62ee2abbae3d6f
|
|
BLAKE2b-256 checksum How to use checksums |
1945ef7dac549f31567d2dc51f29b5fb894b9304ba4c428c2f924dc08dee5f2c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
maturin/0.14.6
|
Security for algovault 0.0.314159
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.