AI · alternatives · 2026
24 alternatives to cleanlab
Automatically find errors in ML datasets
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. cleanlab launched in 2022; newer entries below may have overtaken it.
- 1
Open source data labelling platform for AI model tuning
2023 · labelstud.io · its alternatives →
- 2
- 3
Clean messy data in minutes and without coding
2020 · its alternatives →
- 4
Evidently AI▲297Open-source monitoring for machine learning models
2021 · evidentlyai.com · its alternatives →
- 5
- 6
Open source tool for testing & validating your model & data
2022 · github.com · its alternatives →
- 7
a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
- 8
Manage your computer vision data labeling
2024 · labelyourdata.com · its alternatives →
- 9
- 10
- 11
OrangeLabs▲214Analyze, interpret, and create interactive visuals from data
Mar 2026 · orangelabs.im · its alternatives →
- 12
Clean▲51The first self-improving IDE that learns how your team codes
May 2026 · tryclean.ai · its alternatives →
- 13
- 14ML
2011 · eferm.com · its alternatives →
- 15
Lightly▲148Improve your machine learning models by using the right data
2021 · lightly.ai · its alternatives →
- 16
- 17
2019 · hackerrank.com · its alternatives →
- 18
I've been doing some data cleaning for my fine tuning projects using LLMs, and decided to just build a package for it as a side project. Check it out here: https://github.com/databonsai/databonsai Some features: - categorization (labelling), transformation and decomposition (text into structured format) - validates llm outputs - batch mode batches up the inputs/outputs so you don't send the prompt (schema, fewshot examples) for every row of data, saving a significant amount of tokens There are some similarities to the Instructor repo, but this is simpler and made for…
2024 · github.com · its alternatives →
- 19
Diffgram▲76Open source AI/ML data annotation platform for free
2021 · github.com · its alternatives →
- 20
Unlock the power of AI with no-code machine learning
2022 · graphite-note.com · its alternatives →
- 21NA
Hey HN - our team wants to open source a project called NASTY (NASTY Abstract Syntax Tree thingY) that we built for ourselves. NASTY was built to maintain testable/composable data pipelines. Our team was ripping our hair out trying to maintain dbt/SQL scripts across different data warehouses (Redshift, BigQuery, Postgres, Snowflake) on top of ever shifting data foundations maintained by our customer's internal data teams. NASTY is the result of our learnings from field experience. We wanted to write abstractions so that we could reuse code. We wanted to bundle those abstractions…
2024 · getnasty.dev · its alternatives →
- 22
- 23
A couple of months ago, we left our jobs to build UpTrain AI, an open-source machine learning observability and refinement tool which helps users understand the performance of their models in production and improves them over time by identifying problematic data-points for retraining. Data drift, Distribution shifts, Model degradation, Edge cases - we have personally faced these problems in our previous organizations and have built a lot of tooling to solve them. We are building UpTrain so that others don’t need to build them and can solely focus on improving their ML models while we…
2023 · github.com · its alternatives →
- 24
a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0
2021 · github.com · its alternatives →
Also compare
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →