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[BEST_IN_NICHE // FINE-TUNING]

Best Fine-Tuning in May 2026

If you need a Fine-Tuning tool right now, our caveat-laden pick is kubeflow/sdk (velocity score 1.9/10). Score 1.9/10 — momentum has cooled. Look elsewhere unless you've already integrated. Other tools worth a look: hiyouga/LlamaFactory, AI-Hypercomputer/maxtext, unslothai/unsloth. Rankings update daily — see the full top 10 below.

Top 3 picks
[RANK · #01]
kubeflow/sdk
stablescore 1.9/10+3 stars/7d
[RANK · #02]
hiyouga/LlamaFactory
acceleratingscore 1.7/10+174 stars/7d
[RANK · #03]
AI-Hypercomputer/maxtext
stablescore 1.5/10+10 stars/7d
Top 10 ranked
Tool
Velocity
Trend 30d
Δ 7d
Stars
Class
  • kubeflow/sdkUniversal Python SDK to run AI workloads on Kubernetes
    1.86↑ +3117Stable
  • hiyouga/LlamaFactoryUnified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
    1.72↑ +17471kAccel
  • AI-Hypercomputer/maxtextA simple, performant and scalable Jax LLM!
    1.54↑ +102.3kStable
  • unslothai/unslothUnsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
    1.51↑ +38164kAccel
  • modelscope/ms-swiftUse PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-R1, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).
    1.22↑ +7114kAccel
  • axolotl-ai-cloud/axolotlGo ahead and axolotl questions
    1.13↑ +3912kStable
  • NVIDIA-NeMo/CuratorScalable data pre processing and curation toolkit for LLMs
    0.92↑ +61.6kStable
  • datawhalechina/self-llm《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
    0.89↑ +9830kAccel
Frequently asked

What's the best Fine-Tuning right now?

kubeflow/sdk. Beam ranks Fine-Tuning tools at 1.9/10 velocity. Score 1.9/10 — momentum has cooled. Look elsewhere unless you've already integrated.

What other Fine-Tuning tools should I consider?

Beyond kubeflow/sdk, the next four highest-velocity Fine-Tuning tools beam tracks are hiyouga/LlamaFactory, AI-Hypercomputer/maxtext, unslothai/unsloth, modelscope/ms-swift. Open any tool's profile for the full signal breakdown.

How does beam rank Fine-Tuning tools?

Beam fuses five orthogonal signals into a single velocity score: code activity, package adoption, research citation, sentiment, and production signals. The score multiplies across signals, so any one signal collapsing pulls the whole score down — that's how beam catches stars-up-commits-down decay. Full methodology at /about/methodology.

Is kubeflow/sdk actively maintained?

See the live status check at /tools/1974/status for the direct-answer verdict, last-commit timestamp, and 90-day velocity chart. Beam refreshes daily.

Full Fine-Tuning feed Methodology All niche picks
Best in other niches
AgentsMCPRAGCoding AssistantsInference & ServingVector DBsMulti-AgentLocal LLMsOn-Device & EdgeWorkflow & No-CodeObservability & LLMOpsChat UIVoice & SpeechEval & BenchmarkSecurity & Red-TeamImage GenerationBrowsing & ScrapingFrameworks & SDKsOther
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