FlashLearn
OpenRefine
FlashLearn | OpenRefine | |
---|---|---|
17 | 47 | |
581 | 11,203 | |
98.5% | 1.3% | |
9.4 | 9.8 | |
15 days ago | 5 days ago | |
Python | Java | |
MIT License | BSD 3-clause "New" or "Revised" 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.
FlashLearn
- Competitor price matching with browser agents
- Classic machine learning built with LLMs
- Improve RAG quality with Anthropic's contextual retrival implementation
- Parse financial report data into JSON with LLMs
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Classic Data science pipelines built with LLMs
Yes, LLMs are not always the best option, they are an option. Sometimes requirements of the project are such that they are also the best option.
There is one browser that uses price matching example that is impossible to do without a full-blown data science team right now: https://github.com/Pravko-Solutions/FlashLearn/tree/main/exa...
- Show HN: LangChain, but for Software Engineers
- Build AI agent for PR reviews – Full code
- Enterprise AI agents examples with full code
- Minimal browser AI agent example you will understand
- Show HN: I made AI agent lib that you will understand
OpenRefine
- OpenRefine: For working with, cleaning, transforming messy data
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Classic Data science pipelines built with LLMs
Are you aware of this tool? https://openrefine.org
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Ask HN: What Underrated Open Source Project Deserves More Recognition?
"OpenRefine is a powerful free, open source tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data." https://openrefine.org/
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What you need to know about the future of Mozilla Hubs
Yes, let's hope! The strategy has worked out sometimes - Google shut down 'Google Refine' 10 years ago, it got turned into 'Open Refine', last update 2 months ago. https://github.com/OpenRefine/OpenRefine
It's a hugely useful tool if you're working with messy Excel-scale data, i.e., most biologists or social scientists.
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OpenRefine
It seems to be pure JS with jQuery: https://github.com/OpenRefine/OpenRefine/blob/master/main/we...
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java string equals returns false, even for identical strings
EDIT: trim() does not remove unicode 0x200b (unicode character for zero width space). https://github.com/OpenRefine/OpenRefine/issues/5105 is worth a read.
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UIUC MCS - CS 513 Review - Theory and Practice of Data Cleaning
There were six homework assignments. In order they were Regular Expressions, OpenRefine, Datalog, SQL, Provenance, and Python. None of these assignments took more than two to three hours to complete. They all were basic implementation and programming assignments with autograders.
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"We have great datasets"
Open Refine will get you about 70% there. It's FOSS
What are some alternatives?
wimsey - Easy and flexible data contracts
Jimfs - An in-memory file system for Java 7+
CQEngine - Ultra-fast SQL-like queries on Java collections
visidata - A terminal spreadsheet multitool for discovering and arranging data
sitemapgen4j - SitemapGen4j is a library to generate XML sitemaps in Java.
Smooks - An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration