fastgron
clearml
| fastgron | clearml | |
|---|---|---|
| 10 | 20 | |
| 577 | 5,295 | |
| - | 2.4% | |
| 9.0 | 7.7 | |
| 5 months ago | 7 days ago | |
| C++ | Python | |
| MIT License | Apache License 2.0 |
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.
fastgron
- FLaNK Stack Weekly 12 February 2024
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On-demand JSON: A better way to parse documents?
I don't really understand what's new here compared to what SIMDJSON already knew already.
Anyways, it's the best JSON parser I found (in any language)amazing, I implemented https://github.com/adamritter/fastgron on top of it because of the in demand library performance.
One problem with the library was that it needed extra padding at the end of the JSON, so it didn't support streaming / memory mapping.
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Make JSON Greppable
Thanks, it's a clear bug. I created a new issue for it: https://github.com/adamritter/fastgron/issues/19
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Jaq – A jq clone focused on correctness, speed, and simplicity
And also https://github.com/adamritter/fastgron that I've just discovered.
- FLaNK Stack Weekly 29 may 2023
- fastgron: A JSON to GRON Converter That's 40 Times Faster Than Gron
- Show HN: Fastgron: A JSON to GRON Converter That's 80 Times Faster Than Gron
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
What are some alternatives?
jikkou - The Open source Resource as Code framework for Apache Kafka
MLflow - Open source platform for the machine learning lifecycle
Propan - Propan is a powerful and easy-to-use Python framework for building event-driven applications that interact with any MQ Broker
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!
kafka-native - Kafka broker compiled to native using Quarkus and GraalVM.
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
Deepstream - yolov5, yolov8, segmenations, face, pose, keypoints on deepstream
kedro-great - The easiest way to integrate Kedro and Great Expectations
trogon - Easily turn your Click CLI into a powerful terminal application
streamlit - Streamlit — A faster way to build and share data apps.
datalakeStudio - Python+VueJS application to load, explore, combine,transform and deliver data
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️