label-studio
parabol
label-studio | parabol | |
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50 | 33 | |
16,711 | 1,853 | |
3.5% | 1.3% | |
9.8 | 9.8 | |
5 days ago | 5 days ago | |
JavaScript | TypeScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
label-studio
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Annotation is dead
If instead you have a cohort on hand — -i.e., you do not want to send your data to a third party for any reason, or perhaps you have energetic undergrads — -then you could alternatively consider local, open-source annotation such as CVAT and Label Studio. Finally, nowadays, you might instead work with Large Multimodal Models to have them annotate your data; more on this awkward angle later.
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First 15 Open Source Advent projects
14. LabelStudio by Human Signal | Github | tutorial
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
For instance, the COCO Annotator is a web-based image annotation tool tailored for the COCO dataset format, allowing collaborative labeling with features like attribute tagging and automatic segmentation. Similarly, Label Studio offers an easy-to-use interface for bounding box object labeling in images.
- FLaNK Stack Weekly for 14 Aug 2023
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You Can't Have a Free Software AI Stack
Huh?
I wrote my own system for classifying a stream of texts in Python, I might Open Source it one of these days but I have to get it to the point where it is modular enough that I can customize it to do the particular things I want without subjecting people to my whims... I use it every day and I'm not afraid to demo it because it is rock solid.
My understanding is that my system would not be hard to adapt to work on images for certain kinds of tasks.
Pytorch is open source, Huggingface is open source. CUDA isn't. This is
https://labelstud.io/
and for annotating text spans there are so many open source tools
https://github.com/doccano/doccano
I worked for a company a few years back that built annotation tools for projects we sold to customers but never quite got to a polished general purpose annotator. Today there are an overwhelming number of companies in this space and products I never heard of, many of which are cloud based or paid. Looks like a gold rush to me.
- Label Studio: Open-Source Data Labeling Platform
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Best (quickest) way to annotate images for whole-image classification?
LabelStudio is free for single use. https://labelstud.io/
- Label Studio – Free multi-type data ML labeling and annotation tool
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Way to label yolov7 images fast
LabelStudio is pretty nice, and free & open source, but I have yet to try out their ML integration with a YOLO object detection model.
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image labeling online Tools
Label Studio is an open source data labeling tool that includes annotation functionality. It provides a simple user interface (UI) that lets you label various data types, including text, audio, time series data, videos, and images, and export the information to various model formats.
parabol
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How to Run a Sprint Retrospective
Parabol: Does much of the heavy lifting of facilitating for you. Applies a pre-defined structure to your retro agenda.
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Retrospective Tools
similar to teamretro: https://www.parabol.co/
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Any recommendations for improving remote only retrospective sessions?
Not sure it helps with the issues you mention, but I found https://www.parabol.co/ to stimulate discussion. Everyone writes their thoughts on their own first, then they get shown to the group, you group them, vote, and discuss in order of most votes.
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PSA don't use Datadog agent in a GraphQL project
We faced something similar. To improve GraphQL performance, we use graphql-jit. We turned off all other tracing that datadog turns on by default. Then, we then wrote a custom tracer to connect graphql-jit to dd-trace. Hopefully this same pattern works for you!
- When you use Parabol to run a meeting, you don't have to be a well-seasoned facilitator—but with features that nudge and guide you along the way, you'll feel like a pro in no time! Don’t let pricing stop you: Parabol is free for up to 2 teams. Yup, 100% free.
- You don’t have to be an agile team to benefit from regularly iterating and improving on projects. Anyone can run great retrospectives and create continuous improvement in their work. - even if you lose track, we won't. Don’t let pricing stop you: Parabol is free for up to 2 teams. Yup, 100% free.
- TIL 92% of users agreed that Parabol improves the efficiency of their meetings. By keeping meetings democratic and fair with anonymous voting, they learn what development teams want to talk about giving everyone a voice. Don’t let pricing stop you: Parabol is free for up to 2 teams. Yup, 100% free.
- Discover patterns, prioritize what matters as a team, and implement them with multiplayer grouping. Parabol’s AI automates naming groups so scrum masters don’t have to, leaving only the change up to you and your team. Don’t let pricing stop you: Parabol is free for up to 2 teams. Yup, 100% free.
What are some alternatives?
cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]
Baserow - Open source no-code database and Airtable alternative. Create your own online database without technical experience. Performant with high volumes of data, can be self hosted and supports plugins
doccano - Open source annotation tool for machine learning practitioners.
orchest - Build data pipelines, the easy way 🛠️
awesome-data-labeling - A curated list of awesome data labeling tools
sgr - sgr (command line client for Splitgraph) and the splitgraph Python library
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.
sucrase - Super-fast alternative to Babel for when you can target modern JS runtimes
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
k6 - A modern load testing tool, using Go and JavaScript - https://k6.io
labelbox-custom-labeling-apps - Explore example custom labeling apps built with Labelbox SDK