clearml
Python Packages Project Generator
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clearml | Python Packages Project Generator | |
---|---|---|
20 | 5 | |
5,243 | 1,064 | |
3.0% | - | |
8.1 | 0.0 | |
5 days ago | 8 months 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.
clearml
- FLaNK Stack Weekly 12 February 2024
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clearml VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
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cascade alternatives - clearml and MLflow
3 projects | 1 Nov 2023
- Is there any workflow orchestrator that is Hydra friendly ?
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Show HN: Open-source infra for data scientists
It looks like Magniv is targeting Python in general. This is similar to ClearML. What are the differentiating points to Magniv compared to similar products?
It seems like the product also integrates with SCM systems. Are you using gitea and then containers to push code and data to execution like CodeOcean?
https://github.com/allegroai/clearml
https://codeocean.com/
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[D] Drop your best open source Deep learning related Project
Hi there. ClearML is our open-source solution which is part of the PyTorch ecosystem. We would really appreciate it if you read our README and starred us if you like what you see!
- Start with powerful experiment management and scale into full MLOps with only 2 lines of code.
- Everything you need to log, share, and version experiments, orchestrate pipelines, and scale within one open-source MLOps solution.
- Start with powerful experiment management and scale into full MLOps with only 2 lines of code
Python Packages Project Generator
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Which scaffolding package should I use?
- python-package-template
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Show HN: Go-template – A Cookiecutter template for Go
Hey HN, this would be more of an early release (still planning on some tweaks before a release) -- would love to hear your thoughts on this!
For some back-story, this is more of a side-side-project (made this while working on another side-project).
When I switched to using Go for my projects (from Python), the lack of a template generator similar to python-package-template[1] was very annoying. I would copy the basic files (Makefile, Github actions, PR templates, etc) from the previous project only to realize I forgot to change some stuff, and now would need to rewrite git history.
By the third project, I decided to create a template generator for Go! I've tried to keep the generated project as flexible as possible - you can decide to skip the of it and go for a simple project, or take the bloat (pre-commit would need Python for one).
While making go-template, one of my side goals has been to keep the project beginner-friendly. I remember stumbling upon python-package-template[1] as a novice, and learning more than I had in a semester - Makefiles, linters, code-formatters, semantic versioning, pipelines, and so much more! With go-template, I hope to give that same experience to some other newbie who might stumble upon my repo (or a project generated using go-template).
As a fun fact, go-template has an option to remove Github-specific-features (pull request templates, workflows, etc). This was inspired by a comment on HN[2] pointing out that many open-source projects were on Github simply because of FOMO, which in-turn promoted Github's dominance!
[1]: https://github.com/TezRomacH/python-package-template
- Python Best Practices for a New Project in 2021
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My humble try to make a language-independent tool for boilerplate generation
Oh, and if I am not mistaken, you have also used the python-package-template itself to generate goli structure 🔥
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[D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit?
CookieCutter or Kedro are the winners. I still think we will stick to Kedro template, because it offers extra functionality, and I like to think of each project as a set of pipelines to be run. Anyway, some cookiecutter templates are very good, like this one. In case we use both Kedro and ClearML, we'll have to figure out how to integrate its pipelines with ClearML tasks. But in the slack channel of ClearML there are other teams doing the same, so at least it's possible.
What are some alternatives?
MLflow - Open source platform for the machine learning lifecycle
Poe the Poet - A task runner that works well with poetry.
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
warehouse - The Python Package Index
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
bandersnatch
kedro-great - The easiest way to integrate Kedro and Great Expectations
devpi
streamlit - Streamlit — A faster way to build and share data apps.
localshop - local pypi server (custom packages and auto-mirroring of pypi)
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
python-decouple - Strict separation of config from code.