Track and Collaborate on ML & AI Experiments.
The open-source Python library for ML & AI developers to design, execute and share experiments. Track anything, stream, reproduce, collaborate, and resume the computation state anywhere.
- Documentation: https://www.mltraq.com
- Source code: https://github.com/elehcimd/mltraq (License: BSD 3-Clause)
- Discussions: Ask questions, share ideas, engage
- Funding: You can star the project on GitHub and hire me to make your experiments run faster
1 maintainer
Metadata
1 maintainer
Release files for mltraq 0.1.165
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 | |
|---|---|---|---|---|
| mltraq-0.1.165.tar.gz | 54.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mltraq-0.1.165-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 123.6 kB
Release files / mltraq-0.1.165.tar.gz
| Download URL | mltraq-0.1.165.tar.gz |
|---|---|
| Size | 54.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3be6364b659bc659feaf7fd141f0d096d2cfbacc717d98b8a8b67d2fdbfd74a8
|
|
BLAKE2b-256 checksum How to use checksums |
157d2694b3093c61e3a4c184c71c8a5b3a4237aa7c539067e3d18686ec83b392
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.2 CPython/3.10.7 Darwin/23.6.0
|
Release files / mltraq-0.1.165-py3-none-any.whl
| Download URL | mltraq-0.1.165-py3-none-any.whl |
|---|---|
| Size | 68.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1a213c77fce0da9db25c385173ec85f894ae4b262b149cc825e16d2aa85b0aca
|
|
BLAKE2b-256 checksum How to use checksums |
bc68756fcd5979bffa9fc1702f2f0173c9b71a4cabc4b094a1cfeb69301e8430
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.2 CPython/3.10.7 Darwin/23.6.0
|
Security for mltraq 0.1.165
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.
