Open Source SaaS Alternatives, Self-Hosted Software & COSS Benchmarks

30 projects

Training Data & LabelingCommercial competitors →Market trends →Hero & design styles →

Open-source projects · GitHub Stars
Project	Tagline	License & Stack	Stars	Visits	Commercial
OpenBotCOSShuggingface/lerobotThe data engineering layer for Physical AI.	The data engineering layer for Physical AI.	MIT	9,735	<5K	$23.33
RoboflowMCProboflow/supervisionAI for the physical world.	AI for the physical world.	MIT	8,743	<5K	$39/mo
Structured LabsStructuredLabs/preswaldAccelerate data annotation with our easy-to-use automation	Accelerate data annotation with our easy-to-use automation	—	4,197	—	—
Klavis AIKlavis-AI/klavisIntelligence learns by doing.	Intelligence learns by doing.	Apache	3,021	—	—
Rerunrerun-io/rerunThe Data Layer for Physical AI	The Data Layer for Physical AI	Apache-2.0 OR MIT	2,009	70.8K	—
CVATcvat-ai/cvatComplete Data Labeling Suite For Teams Building Real-World AI	Complete Data Labeling Suite For Teams Building Real-World AI	MIT	1,758	240.6K	—
MillionCOSSaidenybai/millionResearch lab specializing in frontend coding data.	Research lab specializing in frontend coding data.	MIT	795	—	—
Lightlylightly-ai/lightlyThe Data Platform for Physical AI	The Data Platform for Physical AI		329	51.1K	—
Objaverseallenai/objaverse-xlA Universe of 10M+ 3D Objects	A Universe of 10M+ 3D Objects	Apache	268	<5K	—
CLIP Interrogatorpharmapsychotic/clip-interrogatorLooking for prompts to create similar images? Try CLIP Interrogator	Looking for prompts to create similar images? Try CLIP Interrogator	MIT	182	<5K	—
sievesMantisAI/sievesHi HN, I built Sieves, an open-source Python library that makes it easy to build structured document AI pipelines without locking yourself into any specific LLM framework. You can mix and match model frameworks (Outlines, LangChain, DSPy, GLiNER2, Transformers) for different tasks while keeping one declarative pipelin…	Hi HN, I built Sieves, an open-source Python library that makes it easy to build structured document AI pipelines without locking yourself into any specific LLM framework. You can mix and match model frameworks (Outlines, LangChain, DSPy, GLiNER2, Transformers) for different tasks while keeping one declarative pipelin…	MIT	79	<5K	—
Vision AI Label Studiovailabel/vailabel-studioLabel your data with an offline AI copilot	Label your data with an offline AI copilot	MIT	48	<5K	—
Apache SystemMLapache/systemdsApache SystemDS™	Apache SystemDS™	Apache	33	—	—
Train MatricxSoccerNet/sn-reidExpert Humans. Precise Sports Data.	Expert Humans. Precise Sports Data.	MIT	15	—	—
Tumult Analyticsopendp/tumult-analyticsTumult Analytics documentation	Tumult Analytics documentation	Apache	10	<5K	—
Eventumeventum-generator/eventumData generation platform	Data generation platform	Apache	8	<5K	—
Calibraomertt27/CalibraStop wasting GPU hours on robot data.	Stop wasting GPU hours on robot data.	Apache	1	<5K	—
Hyperparamhyparam/hypawareExplore AI data in your browser.	Explore AI data in your browser.		1	—	—
NitrodeNitrode-Research/GameEngineBenchAdvancing game development through frontier AI research.	Advancing game development through frontier AI research.	—	1	—	—
FoddaMCPpiers-fawkes/fodda-mcpCurated, Expert-Led Context Layer for your AI	Curated, Expert-Led Context Layer for your AI	non-standard	GitHub	<5K	$2,500/mo
DataTorchCOSSdatatorch/pythonA data annotation workspace for your team.	A data annotation workspace for your team.	MIT	GitHub	<5K	$99/mo
Cynthia DataCOSSBACC-Labs/cynthia-generatorShip compliant AI without touching real patient data	Ship compliant AI without touching real patient data	—	GitHub	<5K	$1/mo
AquinAquinf03/axiAquin Labs is building Aleph , a universal predictor for applied ML, data science, and annotation.	Aquin Labs is building Aleph , a universal predictor for applied ML, data science, and annotation.	—	GitHub	<5K	—
OnPandaon-panda/on-pandaonPanda: on-Policy Alignment Data Annotator	onPanda: on-Policy Alignment Data Annotator	—	GitHub	—	—
Diffgramdiffgram/diffgramNews	News	—	GitHub	—	—
GlobalMind ProtocolEuJeffeson/globalmind-protocolValidation-in-the-Loop. A camada que verifica antes de treinar	Validation-in-the-Loop. A camada que verifica antes de treinar	—	GitHub	—	—
dropouttckproduces/dropoutt-cliBetter data. Better model.	Better data. Better model.	Apache	GitHub	—	—
Museum of Modelsmuseumofmodels/collectionEvery answer 371 AI models gave to the same questions	Every answer 371 AI models gave to the same questions	—	GitHub	—	—
Know Your Datapair-code/knowyourdataStay updated	Stay updated	—	GitHub	—	—
RothrCOSSrothr-ai/rothr-websiteThe expert layer between AI labs and great design.	The expert layer between AI labs and great design.	—	GitHub	—	$0

Open Source Products & Repositories