#1 AIFree
PaddleNLP — alternative #1 to EasyR1
Easy-to-use and powerful LLM library built on Baidu's PaddlePaddle framework. Supports 100+ models with efficient training, compression, and...
GitHub source
Recorded alternatives
Alternatives to EasyR1
Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.
#2 AIFree
OpenRLHF — alternative #2 to EasyR1
Easy-to-use, scalable RLHF framework based on Ray. Supports PPO, GRPO, REINFORCE++, DAPO with vLLM integration and async training. Apache 2....
GitHub source
#3 AIFree
MLX — alternative #3 to EasyR1
Array framework for machine learning on Apple silicon. Efficient unified memory design with NumPy-like API, automatic differentiation, and m...
GitHub source
#4 AIFree
slime — alternative #4 to EasyR1
LLM post-training framework for RL Scaling from THUDM. Supports SFT and RL training with multi-turn compilation feedback, powering projects...
GitHub source
#5 AIFree
EvalScope (ModelScope — alternative #5 to EasyR1
Streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking. One-stop evaluati...
GitHub source
#6 AIFree
fiftyone — alternative #6 to EasyR1
Visual AI development toolkit for visualizing, labeling, and evaluating visual datasets and models. Supercharges computer vision workflows w...
GitHub source
#7 AIFree
MLPerf Training — alternative #7 to EasyR1
Industry-standard ML training benchmarks from MLCommons. Reference implementations for training AI models at scale across image classificati...
GitHub source
#8 AIFree
FluxGym — alternative #8 to EasyR1
Dead simple FLUX LoRA training UI with LOW VRAM support (12GB/16GB/20GB). WebUI forked from AI-Toolkit with backend powered by Kohya Scripts...
GitHub source
Questions about this page
How were these alternatives selected?
Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.
Are these alternatives ranked by payment?
No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.
Always verify current terms with EasyR1 directly — Oryxen records pricing classes, not live quotes.