json-repair
flyte
| json-repair | flyte | |
|---|---|---|
| 1 | 31 | |
| 80 | 5,119 | |
| - | 7.0% | |
| 8.3 | 9.8 | |
| 4 days ago | 3 days ago | |
| Go | Go | |
| GNU General Public License v3.0 only | 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.
json-repair
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Repair JSON！Solution for JSON Anomalies from LLMs
https://github.com/RealAlexandreAI/json-repair
Discover the power of seamless JSON string repair with the json-repair library by RealAlexandreAI, available on GitHub. This ingenious tool is designed to effortlessly mend corrupted JSON strings generated by Large Language Models (LLMs), ensuring your data integrity remains uncompromised.
Key Features:
- Zero Dependencies: The json-repair library prides itself on having zero external dependencies, making it incredibly lightweight and easy to integrate into your projects.
- Universal Compatibility: It is fully compatible with all versions of Go, ensuring that developers across the board can benefit from its capabilities without worrying about version conflicts.
- Workflow Efficiency: Perfectly suited for incorporation into your workflow, json-repair guarantees non-disruptive operation. It smoothly handles all input and output, allowing your processes to continue without any hiccups.
flyte
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First 15 Open Source Advent projects
9. Flyte by Union AI | Github | tutorial
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Flyte 1.10: Self-hosted solution to build production-grade data and ML pipelines; now ships with monorepo, new agents and sensors, eager workflows and more 🚀 (4.1k stars on GitHub)
GitHub: https://github.com/flyteorg/flyte
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Flyte: Open-source orchestrator for building production-grade ML pipelines
This is actually but a link to Flyte, this is a link to the documentation for the Flyte integration in LangChain, a separate product.
Flyte's homepage is https://flyte.org/
- Flyte: Advanced workflow orchestration alternative to Apache Airflow
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Orchestration: Thoughts on Dagster, Airflow and Prefect?
Anyone tried Flyte?
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Flyte 1.6.0: Self-hosted solution to build production-grade data and ML pipelines; now ships with PyTorch elastic training, image specification without dockerfile, enhanced task execution insights and more 🚀 (3.4k stars on GitHub)
Website: https://flyte.org/
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Flyte(v1.5.0) - Self-hosted solution to build production-grade data and ML pipelines; now ships with streaming support, pod templates, partial tasks and more 🚀 (3.2k stars on GitHub)
Flyte is an open source orchestration tool for managing the workflow of machine learning and AI projects. It runs on top of Kubernetes.
- Flyte: Open-Source Kubernetes-Native ML Orchestrator Implemented in Go
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What is MLOps and how to get started? | MLOps series | Deploying ML in production
I have a question though, what is your opinion on https://flyte.org. My pipeline uses this and it’ll be interesting to get your perspectives on it’s capabilities.
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Github alternative for ML?
Have you looked at flyte.org. It aims to bring "versioning", "compute" and "reproducibility" together in one package.
What are some alternatives?
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
argo - Workflow Engine for Kubernetes
temporal - Temporal service
kubeflow - Machine Learning Toolkit for Kubernetes
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
hera - Hera is an Argo Python SDK. Hera aims to make construction and submission of various Argo Project resources easy and accessible to everyone! Hera abstracts away low-level setup details while still maintaining a consistent vocabulary with Argo. ⭐️ Remember to star!
pachyderm - Data-Centric Pipelines and Data Versioning
kestra - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
whylogs - An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
microservices-demo - Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.