dvc
commitizen
Our great sponsors
dvc | commitizen | |
---|---|---|
109 | 9 | |
13,116 | 2,135 | |
1.4% | 5.4% | |
9.7 | 9.5 | |
about 19 hours ago | 4 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dvc
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My Favorite DevTools to Build AI/ML Applications!
Collaboration and version control are crucial in AI/ML development projects due to the iterative nature of model development and the need for reproducibility. GitHub is the leading platform for source code management, allowing teams to collaborate on code, track issues, and manage project milestones. DVC (Data Version Control) complements Git by handling large data files, data sets, and machine learning models that Git can't manage effectively, enabling version control for the data and model files used in AI projects.
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Why bad scientific code beats code following "best practices"
What you’re describing sounds like DVC (at a higher-ish—80%-solution level).
https://dvc.org/
See pachyderm too.
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First 15 Open Source Advent projects
10. DVC by Iterative | Github | tutorial
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Platforms such as MLflow monitor the development stages of machine learning models. In parallel, Data Version Control (DVC) brings version control system-like functions to the realm of data sets and models.
- ML Experiments Management with Git
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Git Version Controlled Datasets in S3
I was using DVC (https://dvc.org/) for some time to help solve this but it was getting hard to manage the storage connections and I would run into cache issues a lot, but this solves it using git-lfs itself.
- Ask HN: How do your ML teams version datasets and models?
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Exploring MLOps Tools and Frameworks: Enhancing Machine Learning Operations
DVC (Data Version Control):
- Evaluate and Track Your LLM Experiments: Introducing TruLens for LLMs
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[D] Is there a tool to keep track of my ML experiments?
I have been using DVC and MLflow since then DVC had only data tracking and MLflow only model tracking. I can say both are awesome now and maybe the only factor I would like to mention is that IMO, MLflow is a bit harder to learn while DVC is just a git practically.
commitizen
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What is the relation between commitizen-tools/commitizen and commitizen/cz-cli?
I followed some instruction in it and realized this tool is only for javascript projects.. While I was considering commitizen is not for me, I ran into this project: https://github.com/commitizen-tools/commitizen
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Your Git Commit History Should Read Like a History Book. Here’s How.
Relevant to this discussion is perhaps pre-commit as it simplifies sharing git hooks which would otherwise not be tracked in git, as well as commitizen which enforces conventional commits.
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Life is Too Short to Review Spaces
commitizen makes sure our commit messages meet our company requirements, which is a format derived from semantic-release where we require to also put the related GitLab issue’s number. Here is an example of a valid GitGuardian commit message:
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Modern Python setup for quality development
repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.0.1 hooks: - id: check-added-large-files - id: check-ast - id: check-builtin-literals - id: check-case-conflict - id: check-docstring-first - id: check-executables-have-shebangs - id: check-json - id: check-merge-conflict - id: check-symlinks - id: check-toml - id: check-vcs-permalinks - id: check-xml - id: check-yaml args: [--allow-multiple-documents] - id: debug-statements - id: detect-aws-credentials args: [--allow-missing-credentials] - id: destroyed-symlinks - id: end-of-file-fixer - id: fix-byte-order-marker - id: fix-encoding-pragma args: [--remove] - id: forbid-new-submodules - id: mixed-line-ending args: [--fix=auto] - id: name-tests-test args: [--django] - id: requirements-txt-fixer - id: trailing-whitespace - repo: local hooks: - id: black name: black entry: poetry run black language: system types: [python] - id: flake8 name: flake8 entry: poetry run flake8 language: system types: [python] - repo: https://github.com/pycqa/isort rev: "5.9.1" hooks: - id: isort args: - --profile - black - --filter-files - repo: https://github.com/adrienverge/yamllint.git rev: v1.26.1 hooks: - id: yamllint args: [-c=.yamllint.yaml] - repo: https://gitlab.com/devopshq/gitlab-ci-linter rev: v1.0.2 hooks: - id: gitlab-ci-linter args: - "--server" - "https://your.gitlab.server" # Need env var GITLAB_PRIVATE_TOKEN with gitlab api read token - repo: https://github.com/commitizen-tools/commitizen rev: v2.17.11 hooks: - id: commitizen stages: [commit-msg] - repo: https://github.com/jumanjihouse/pre-commit-hooks rev: 2.1.5 # or specific git tag hooks: - id: forbid-binary - id: shellcheck - id: shfmt
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How to enforce git commit messages longer than stupid shit like "abc" and "fix"?
While I agree with others, that this is not strictly a technical problem I think commitizen will let you do this, among other things.
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SvelteKit Tooling: 7 Tools to Streamline you CI Workflow
Following the type of commit in brackets we have a description for the part of the project affected. Then the commit message itself. The emoji is not required! If you want to try out conventional commits, you might like the commitizen command line tool. As well as holding your hand as you write commit messages, it can handle version bumping and generate changelogs for you. We won't go into details here, but definitely try it on a new side project to see if it suits you.
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Semantic Versioning In Python With Git Hooks
--- repos: - repo: https://github.com/commitizen-tools/commitizen rev: master hooks: - id: commitizen stages: [commit-msg]
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Automated version number for embedded software
Look into git flow + commitizen + semver. Git flow is secondary to your problem but is a nice to have feature. commitizen allows you to automatically bump versions based on your git commits. Look at this issue here https://github.com/commitizen-tools/commitizen/issues/358 Yes, that is me. I did say, I was grappling with the same issue a while ago..
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Anyone know of a utility for generating commit messages?
While not a direct answer, have a look at https://github.com/commitizen-tools/commitizen
What are some alternatives?
MLflow - Open source platform for the machine learning lifecycle
poetry-dynamic-versioning - Plugin for Poetry to enable dynamic versioning based on VCS tags
lakeFS - lakeFS - Data version control for your data lake | Git for data
pre-commit-hooks - git pre-commit hooks that work with http://pre-commit.com/
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
pre-commit - A framework for managing and maintaining multi-language pre-commit hooks.
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
semantic-versioning-in-python-with-git-hooks
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
cz-cli - The commitizen command line utility. #BlackLivesMatter
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
python-semver - Python package to work with Semantic Versioning (https://semver.org/)