TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
GitHub repository with 2,276 stars and 400 forks.
Language: Scala
Topics: ml, automl, transformations, estimators, dsl, pipelines, machine-learning, scala, salesforce, einstein
Trending score 0.11, freshness score 0.00, stars gained +0, forks gained +1.
2026-06-15: 2,276 stars and 400 forks.
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
GitHub repository with 2,276 stars and 400 forks.
Trending score: 0.11; stars gained: +0; forks gained: +1.
Language: Scala
Topics: ml, automl, transformations, estimators, dsl, pipelines
Apache Spark - A unified analytics engine for large-scale data processing
GitHub repository with 43,456 stars and 29,225 forks.
Trending score: 2.10; stars gained: +9; forks gained: +4.
Language: Scala
Topics: big-data, java, jdbc, python, r, scala
Open-source code analysis platform for C/C++/Java/Binary/Javascript/Python/Kotlin based on code property graphs. Discord https://discord.gg/vv4MH284Hc
GitHub repository with 3,254 stars and 418 forks.
Trending score: 2.05; stars gained: +11; forks gained: +2.
Language: Scala
Topics: binary, c, code-analysis, code-browser, code-property-graph, controlflow
In-memory message queue with an Amazon SQS-compatible interface. Runs stand-alone or embedded.
GitHub repository with 2,883 stars and 202 forks.
Trending score: 1.72; stars gained: +11; forks gained: +0.
Language: Scala
Topics: scala, sqs-interface, elasticmq, amazon-sqs, aws, aws-sqs
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
GitHub repository with 8,852 stars and 2,113 forks.
Trending score: 1.36; stars gained: +4; forks gained: -2.
Language: Scala
Topics: acid, analytics, big-data, delta-lake, spark
Human-AI Collaborative Data Science Using Visual Workflows
GitHub repository with 246 stars and 157 forks.
Trending score: 1.31; stars gained: +2; forks gained: +0.
Language: Scala
Topics: machine-learning, artificial-intelligence, data-science, cloud-native, ai-agents, human-ai-collaboration
Build highly concurrent, distributed, and resilient message-driven applications using Java/Scala
GitHub repository with 1,588 stars and 199 forks.
Trending score: 1.27; stars gained: +3; forks gained: +2.
Language: Scala
Topics: actor-model, cloud-native, concurrency, distributed-actors, distributed-systems, high-performance
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
GitHub repository with 26,532 stars and 5,845 forks.
Trending score: 2.94; stars gained: +20; forks gained: +9.
Language: Python
Topics: agentops, agents, ai, ai-governance, apache-spark, evaluation
Fast, small, and fully autonomous AI personal assistant infrastructure, any OS, any platform — deploy anywhere, swap anything 🦀
GitHub repository with 31,910 stars and 4,717 forks.
Trending score: 2.76; stars gained: +17; forks gained: -1.
Language: Rust
Topics: agent, agentic, ai, infra, ml, openclaw
YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure
GitHub repository with 19,298 stars and 1,831 forks.
Trending score: 2.64; stars gained: +12; forks gained: +3.
Language: Rust
Topics: ai, computer-vision, llm, machine-learning, ml, multimodal
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
GitHub repository with 15,482 stars and 2,351 forks.
Trending score: 2.41; stars gained: +11; forks gained: +2.
Language: C++
Topics: arm, convolution, deep-learning, embedded-devices, llm, machine-learning
An Open Source Machine Learning Framework for Everyone
GitHub repository with 195,661 stars and 75,185 forks.
Trending score: 2.12; stars gained: +14; forks gained: +4.
Language: C++
Topics: deep-learning, deep-neural-networks, distributed, machine-learning, ml, neural-network
Open standard for machine learning interoperability
GitHub repository with 20,995 stars and 3,946 forks.
Trending score: 1.94; stars gained: +7; forks gained: +1.
Language: Python
Topics: deep-learning, deep-neural-networks, neural-network, onnx, pytorch, tensorflow