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HumanSignal
label-studio
TypeScript2020–2026
HumanSignal / label-studio

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Creative & MediaAI & Machine LearningLearning & Reference
Explore on GitHubRead Hacker News discussions
5Distinct people
13Mentions
0Explicit recommenders
28.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Label Studio is a multi-type data labeling and annotation tool with standardized output format

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year13 dated mentions

Observed mentions: 2020-12-01 21:19:28 UTC to 2026-04-01 17:13:11 UTC.

02462020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 6 mentions; 2 submissions, 4 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC624
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC321
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC110
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

13 sources
ReDeiPirati·Apr 1, 2026
HumanSignal | https://humansignal.com/ | REMOTE North America, South America, Europe | Full-time | Engineering roles We created Label Studio (https://github.com/HumanSignal/label-studio/), which has quickly become the most popular open source data labeling and AI evaluation platform with 350K+ users around the world and millions of annotations each month, alongside a community of thousands of data scientists and ML engineers sharing knowledge and working to advance AI. We're a remote team full of people passionated about open source and AI. We are very pragmatic and strong team players. We are looking for multiples roles to support the growth of Label Studio: - Senior Backend Engineer: https://boards.greenhouse.io/humansignal/jobs/4291492004 - Senior Frontend Engineer: https://boards.greenhouse.io/humansignal/jobs/4630367004 - Senior Full
Read the rest
Stack Engineer: https://boards.greenhouse.io/humansignal/jobs/4803399004 - AI Engineer (GTM): https://job-boards.greenhouse.io/humansignal/jobs/5828847004 See https://boards.greenhouse.io/humansignal for more openings. --- HumanSignal Service is looking for AI trainers for the next frontier of AI. Especially of interest: - Graphic Designers - Content Creators (Social Media) - Podcasters/Voice Actors - Medical Experts - Automotive Experts Apply here: https://join.humansignal.com
In Ask HN: Who is hiring? (April 2026)
ReDeiPirati·Jul 3, 2025
> Q: What makes a good custom interface for reviewing LLM outputs? Great interfaces make human review fast, clear, and motivating. We recommend building your own annotation tool customized to your domain ... Ah! This is a horrible advice. Why should you recommend reinventing the wheel where there is already great open source software available? Just use https://github.com/HumanSignal/label-studio/ or any other type of open source annotation software you want to get started. These tools cover already pretty much all the possible use-cases, and if they aren't you can just build on top of them instead of building it from zero.
In About AI Evals
joealfaro·Jun 2, 2022
Heartex | Remote (EU, North America, South America) | https://heartex.com/careers The power of prediction starts with Heartex (https://heartex.com). We build software that helps people do what only they can do – give meaning (https://github.com/heartexlabs/label-studio) We are currently hiring for Backend Engineers, Architects, and Engineering leaders. We are a fully distributed organization with people all over the world. With team members in North America, Europe, and South America across 6 countries. Stack: React, Python, Django, Postgres, Kubernetes As the VP of Engineering feel free to reach out to me directly (joe@hearex.com), contact our Head of Talent (brandi@heartex), or apply via our careers page (https://heartex.com/careers) More about Heartex: Data fills our modern world. It flows prolifically inside organizations, customer i
Read the rest
nteractions, through product usage, environmental research, healthcare imaging, and beyond. What if we could use any of that historical data to predict the future? The fact is, in most cases we can make predictions through Machine Learning and AI, but to do so in a meaningful and impactful way, historical data needs to be accurate, comprehensive, and absent of bias. In order to make the best predictions, we believe internal teams with domain expertise should be responsible for annotating and curating data. It's called data labeling, and it’s a process of real people giving meaning to the information they see on the screen. Heartex was founded to take data labeling to the next level. We believe that data labeling is a team sport. Data scientists, subject matter experts, engineers, operations, and annotators must work collaboratively to ensure quality results and an efficient process. That’s why we created Label Studio, which has quickly become the most popular open source data labeling platform with 100,000 users around the world, alongside a community of thousands of data scientists sharing knowledge and working to advance data-centric AI. We are excited to announce that Heartex has recently raised $25 million in Series A funding, bringing our total funds raised to $30 million from notable investment partners Redpoint Ventures, Unusual Ventures, Bow Capital, Swift Ventures, as well as angel investors.
In Ask HN: Who is hiring? (June 2022)
joealfaro·Jun 2, 2022Submission

Heartex – Remote (EU, North America, South America)

Heartex | Remote (EU, North America, South America) | https://heartex.com/careers The power of prediction starts with Heartex (https://heartex.com). We build software that helps people do what only they can do – give meaning (https://github.com/heartexlabs/label-studio) We are currently hiring for Backend Engineers, Architects, and Engineering leaders. We are a fully distributed organization with people all over the world. With team members in North America, Europe, and South America across 6 countries. Stack: React, Python, Django, Postgres, Kubernetes As the VP of Engineering feel free to reach out to me directly (joe@hearex.com), contact our Head of Talent (brandi@heartex), or apply via our careers page (https://heartex.com/career) More about Heartex: Data fills our modern world. It flows prolifically inside organizations, customer in
Read the rest
teractions, through product usage, environmental research, healthcare imaging, and beyond. What if we could use any of that historical data to predict the future? The fact is, in most cases we can make predictions through Machine Learning and AI, but to do so in a meaningful and impactful way, historical data needs to be accurate, comprehensive, and absent of bias. In order to make the best predictions, we believe internal teams with domain expertise should be responsible for annotating and curating data. It's called data labeling, and it’s a process of real people giving meaning to the information they see on the screen. Heartex was founded to take data labeling to the next level. We believe that data labeling is a team sport. Data scientists, subject matter experts, engineers, operations, and annotators must work collaboratively to ensure quality results and an efficient process. That’s why we created Label Studio, which has quickly become the most popular open source data labeling platform with 100,000 users around the world, alongside a community of thousands of data scientists sharing knowledge and working to advance data-centric AI. We are excited to announce that Heartex has recently raised $25 million in Series A funding, bringing our total funds raised to $30 million from notable investment partners Redpoint Ventures, Unusual Ventures, Bow Capital, Swift Ventures, as well as angel investors.
1 points · Open discussion
deppp·Oct 1, 2021
Heartex / Label Studio | SFBA, Remote | Full-time We're the leading open-source solution for data labeling with 6K+ stars on GitHub! If you're excited about Data Science & Machine Learning, we've got a few positions open. Our stack is Django, React, and a bunch of ML frameworks. Product Manager: Own and develop our flagship open-source product Label Studio Evangelist: Engage data science community and build meaningful relationships Customer & Community Support Engineer: Help our customers and open source users to get up and running with the software. We're a passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and data management. To learn a bit more about the product visit https://github.com/heartexlabs/label-studio If you wan
Read the rest
t to start a conversation feel free to reach out to me michael@heartex.com
In Ask HN: Who is hiring? (October 2021)
deppp·Jul 1, 2021
Heartex / Label Studio | SFBA, Remote preferable | Full-time We're the leading open source solution for data labeling with 6K+ stars on GitHub! If you're excited about Data Science & Machine Learning we've got a few positions open. Our stack is Django, React, and a bunch of ML frameworks. Product Manager: Work on Label Studio directly, managing multiple lines of product feedback (open source users, customers, internal ideas). Help prioritize and improve features, connecting that to the product metrics. Customer & Community Support Engineer: Help our customers and open source users to get up and running with the software. Troubleshoot any of the deployment / software issues they may have. You need to have a good understanding of Infrastructure/DevOps/Deployment practices and be empathetic towards people and their problems. We're a small pa
Read the rest
ssionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and data management experience. To learn a bit more about the product visit https://github.com/heartexlabs/label-studio If you want to start a conversation feel free to reach out to me michael@heartex.com #open source #machine learning #data science #ml #django #python
In Ask HN: Who is hiring? (July 2021)
deppp·Apr 1, 2021
Heartex / Label Studio | SFBA, Remote preferable | Full-time We're the leading open source solution for data labeling with 5K+ stars on GitHub! If you're excited about Data Science & Machine Learning we've got a few positions open. Our stack is Django, React, and a bunch of ML frameworks. Head of Engineering: Lead open source engineering team as well as organize developers' community, their contributions, feature requests, feedback, manage backlog, and development process. We have big plans in terms of open source growth and you'll be leading a lot of that. Customer & Community Support Engineer: Help our customers and open source users to get up and running with the software. Troubleshoot any of the deployment / software issues they may have. You need to have a good understanding of Infrastructure/DevOps/Deployment practices and be empath
Read the rest
etic towards people and their problems. We're a small passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and data management experience. To learn a bit more about the product visit https://github.com/heartexlabs/label-studio If you want to start a conversation feel free to reach out to me michael@heartex.com
In Ask HN: Who is hiring? (April 2021)
deppp·Jan 4, 2021
Heartex / Label Studio | San Francisco, SFBA, Remote | Full-time If you're excited about Data Science, Machine Learning, and AI (with a related Data Science background) and is interested in a Community Manager position to help ML Engineers get the most out of our open-source data labeling product, promote its usage, build use-cases, then send me a note at michael@heartex.net We're a small passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and management experience and provide weak supervision to automate it as much as possible. To learn a bit more about the product visit https://github.com/heartexlabs/label-studio
In Ask HN: Who is hiring? (January 2021)

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