Alternatives
Products that do what OpenETL does
Complex Pipelines Simplified
- 1RT
2024 · github.com
- 2SS
2017 · singer.io
- 3OS
Hey hacker news, we launched a few weeks ago as a GPT-powered chatbot for developer docs, and quickly realized that the value of what we’re doing isn’t the chatbot itself. Rather, it’s the time we save developers by automating the extraction of data from their SaaS tools (Github, Zendesk, Salesforce, etc) and helping transform it to contextually relevant chunks that fit into GPT’s context window. A lot of companies are building prototypes with GPT right now and they’re all using some combination of Langchain/Llama Index + Weaviate/Pinecone + GPT3.5/GPT4 as their stack for…
2023 · github.com
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- 7DJ
I'm Robbert, the creator of DataGridXL.js. Last month I released version 2 which includes many new features. DataGridXL is a free (and commercial) editable data table library written in ES6. My goal is to develop the most performant & user-friendly spreadsheet-like data table out there: - It has zero dependencies. You don’t need any framework to use DataGridXL. - It is lightweight (~250kb) and easy to use. It does not even require messing with CSS. - It has its own Virtual DOM implementation to prevent DOM errors. - Developer friendly. Supports all modern web browsers Please take a look at…
2022 · datagridxl.com
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- 9PL
2019 · github.com
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- 11PD
We’re Robin, Louis, and Thomas. Pipelex is a DSL and a Python runtime for repeatable AI workflows. Think Dockerfile/SQL for multi-step LLM pipelines: you declare steps and interfaces; any model/provider can fill them. Why this instead of yet another workflow builder? - Declarative, not glue code: you state what to do; the runtime figures out how. - Agent-first: each step carries natural-language context (purpose, inputs/outputs with meaning) so LLMs can follow, audit, and optimize. Our MCP server enables agents to run pipelines but also to build new pipelines on demand. - Open…
Oct 2025 · github.com
- 12GB
2019 · gaia-pipeline.io
- 13AI
2022 · github.com
- 14BL
2017 · engblog.nextdoor.com
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- 16EA
eno [1] - A modern plaintext language w/ libraries [2] for JavaScript, Python, Ruby & soon more! We migrated a big relational research database to a file-based solution - requirements were: - Super fast and easy editability for users - Highest performance for parsing/validating >10K documents on every user change. Our trials with YAML/TOML showed us that we wanted something both faster [3][4] and easier [4], something tailored for file-based content management ... and after months of research & development it's now publicly available (under MIT license) for everyone! Last but…
2018
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- 18OP
Hi HN, I’ve been working on an OCR pipeline specifically optimized for machine learning dataset preparation. It’s designed to process complex academic materials — including math formulas, tables, figures, and multilingual text — and output clean, structured formats like JSON and Markdown. Some features: • Multi-stage OCR combining DocLayout-YOLO, Google Vision, MathPix, and Gemini Pro Vision • Extracts and understands diagrams, tables, LaTeX-style math, and multilingual text (Japanese/Korean/English) • Highly tuned for ML training pipelines, including dataset generation and…
2025 · github.com
- 19NC
We've open-sourced our no-code ETL framework for Vector Data processing. The VectorETL framework allows Data & AI engineers seamlessly process data from multiple data sources (S3, MySQL, Postgres, Salesforce) to ALL MAJOR vector databases (Pinecone, Weaviate, Qdrant, Milvus etc.) using just a config file. We'd love to get your feedback!
2024 · github.com
- 20WE
2022 · weld.app
- 21CL
2018 · github.com
- 22
- 23GB
2018 · github.com
- 24
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