The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 14 Python Labeling Projects
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cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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anylabeling
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
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diffgram
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
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refinery
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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compose
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning. (by alteryx)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: [Research] Detecting Annotation Errors in Semantic Segmentation Data | /r/MachineLearning | 2023-11-05We have feely open-sourced our new method for improving segmentation data, published a paper on the research behind it, and released a 5-min code tutorial. You can also read more in the blog if you'd like.
Project mention: Show HN: Stargazers Reloaded – LLM-Powered Analyses of Your GitHub Community | news.ycombinator.com | 2023-09-30Hey friends!
We have built an app for getting insights about your favorite GitHub community using large language models.
The app uses LLMs to analyze the GitHub profiles of users who have starred the repository, capturing key details like the topics they are interested in. It takes screenshots of the stargazer's GitHub webpage, extracts text using an OCR model, and extracts insights embedded in the extracted text using LLMs.
This app is inspired by the “original” Stargazers app written by Spencer Kimball (CEO of CockroachDB). While the original app exclusively used the GitHub API, this LLM-powered app built using EvaDB additionally extracts insights from unstructured data obtained from the stargazers’ webpages.
Our analysis of the fast-growing GPT4All community showed that the majority of the stargazers are proficient in Python and JavaScript, and 43% of them are interested in Web Development. Web developers love open-source LLMs!
We found that directly using GPT-4 to generate the “golden” table is super expensive — costing $60 to process the information of 1000 stargazers. To maintain accuracy while also reducing cost, we set up an LLM model cascade in a SQL query, running GPT-3.5 before GPT-4, that lowers the cost to $5.5 for analyzing 1000 GitHub stargazers.
We’ve been working on this app for a month now and are excited to open source it today :)
Some useful links:
* Blog Post - https://medium.com/evadb-blog/stargazers-reloaded-llm-powere...
* GitHub Repository - https://github.com/pchunduri6/stargazers-reloaded/
* EvaDB - https://github.com/georgia-tech-db/evadb
Please let us know what you think!
Project mention: AnyLabeling Auto-labeling with MobileSAM - the newest and fastest variant of Segment Anything | /r/computervision | 2023-06-28Check out AnyLabeling v0.3.2 today: https://github.com/vietanhdev/anylabeling/releases/tag/v0.3.2.
Some of these plugins were simpler than others. On one end, the Twilio automation plugin consists of a single Python file without bells and whistles. On the opposite extreme, plugins like Active Learning, which required multiple operators, caching, and special handling for many different scenarios. Plugins like Reverse Image Search and Concept Space Traversal were challenging in a different way, mostly because I am new to JavaScript. But that is for another day.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2024-02-09.
Python Labeling related posts
- AnyLabeling Auto-labeling with MobileSAM - the newest and fastest variant of Segment Anything
- AnyLabeling - Image Labeling tool with Auto Labeling from Segment Anything + YOLOs
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labelme VS anylabeling - a user suggested alternative
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labelImg VS anylabeling - a user suggested alternative
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- AnyLabeling v0.2.2 now supported all Segment Anything models (ViT-B, ViT-L, ViT-H) + YOLOv5 + YOLOv8 for auto labeling
- How we used AI to automate stock sentiment classification
- German's NLP startup Kern AI has raised €2.7M in seed funding to accelerate its recent growth
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Index
What are some of the best open-source Labeling projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | cleanlab | 8,592 |
| 2 | snorkel | 5,701 |
| 3 | evadb | 2,564 |
| 4 | anylabeling | 1,830 |
| 5 | diffgram | 1,795 |
| 6 | refinery | 1,358 |
| 7 | labelCloud | 523 |
| 8 | compose | 471 |
| 9 | bbox-visualizer | 372 |
| 10 | hover | 313 |
| 11 | turkle | 140 |
| 12 | image-sorter2 | 82 |
| 13 | iris3 | 66 |
| 14 | active-learning-plugin | 6 |
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SaaSHub helps you find the best software and product alternatives
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