rocketry
envd
rocketry | envd | |
---|---|---|
32 | 31 | |
3,178 | 1,912 | |
- | 0.5% | |
0.6 | 8.8 | |
6 months ago | 10 days ago | |
Python | Go | |
MIT License | Apache License 2.0 |
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rocketry
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Is SQL a prerequisite to learning Python ?
Intuitive scheduling framework: https://rocketry.readthedocs.io/
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Easiest way to run a scheduled Python script?
One easy option would be to use Rocketry, it's pure Python:
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Scheduling in Data Engineering
It has bunch of features: logical scheduling syntax, parallelism/concurrency, dynamic parametization, log to database etc. You can read from the docs: https://rocketry.readthedocs.io/
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Run external programs intuitively in Python
It's the creator of Rocketry, Red Mail and Red Box again. This week I thought to make it easier to integrate command-line programs to your Python applications.
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Should i use airflow
If you don't need fancy UIs (or you can create those yourself), I have heard some people are replacing Airflow with Rocketry. Rocketry is very easy to set up and use and its scheduling mechanics are pretty advanced.
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Email Utility
If you need a scheduler (that also supports custom conditions like "run when there is X amount of emails"), I have another library for that: Rocketry
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Trying to send Email
Smtplib is a pain to work with (which is the reason I wrote Red Mail). For the scheduling, I also happen to have a library that is often useful for this sorts of problems: https://rocketry.readthedocs.io
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WHAT ENGINE IS THE BEST FOR PROTOTYPING?(Python)
I have been thinking of creating an algo using Rocketry at some point. It's very easy to create custom conditions and combine these with logical statement. For example, you could set your algo (a function) running when volatility is x amount and you have y amount balance.
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I have developed a simple Task Orchestrator
I have been tackling the same problem and it has recently gained popularilty. In case you want to take a look at Rocketry: https://github.com/Miksus/rocketry
- A statement-based scheduling framework for Python
envd
- Show HN: Dockerfile Alternative for AI/ML
- Show HN: Reproducible Development Environment for LLM
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20x Faster as the Beginning: Introducing pgvecto.rs extension written in Rust
envd - A command-line tool that helps you create the container-based environment for AI/ML, from development to the production. Python is all you need to know to use this tool.
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Launching ModelZ Beta!
Contribute to open source projects: Modelz is built on top of envd, mosec, modelz-llm and many other open source projects. If you're interested in contributing to these projects, you can check out their GitHub repositories and start contributing.
- Kubernetes for Data Science with Kubeflow
- Show HN: Reproducible development environments using starlark, without Nix
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Kubeflow, Jupyter notebook online. Question to community [D]
Maybe you can have a look at https://github.com/tensorchord/envd. You can deploy it to kubernetes, and use vsvocde-remote-ssh or jupyter with the pod.
- Show HN: envd – development environment for AI/ML, based on Docker buildkit
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This Week In Python
envd – Development environment for AI/ML, based on buildkit
- GitHub - tensorchord/envd: 🏕️ Development environment for machine learning
What are some alternatives?
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
GoLearn - Machine Learning for Go
rocketry-with-fastapi - Example of how to create a scheduler with an API
goga - Golang Genetic Algorithm
django-formset - The missing widgets and form manipulation library for Django
gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
scheduled_thread_pool_executor - Scheduled Thread Pool Executor implementation in python
go-pr - Pattern recognition package in Go lang.
protobuf_to_pydantic - Generate a pydantic.BaseModel with parameter verification function from the Python Message object(by the Protobuf file).
go-galib - Genetic Algorithms library written in Go / golang
red-mail - Advanced email sending for Python
bayesian - Naive Bayesian Classification for Golang.