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[BEST_IN_NICHE // ON-DEVICE & EDGE]

Best On-Device & Edge in May 2026

If you need a On-Device & Edge tool right now, our caveat-laden pick is AlexsJones/llmfit (velocity score 1.0/10). Score 1.0/10 — momentum has cooled. Look elsewhere unless you've already integrated. Other tools worth a look: intel/neural-compressor. Rankings update daily — see the full top 10 below.

Top 3 picks
[RANK · #01]
AlexsJones/llmfit
acceleratingscore 1.0/10+502 stars/7d
[RANK · #02]
intel/neural-compressor
stablescore 0.6/10+5 stars/7d
Top 10 ranked
Tool
Velocity
Trend 30d
Δ 7d
Stars
Class
  • AlexsJones/llmfitHundreds of models & providers. One command to find what runs on your hardware.
    1.01↑ +50226kAccel
  • intel/neural-compressorSOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
    0.58↑ +52.6kStable
Frequently asked

What's the best On-Device & Edge right now?

AlexsJones/llmfit. Beam ranks On-Device & Edge tools at 1.0/10 velocity. Score 1.0/10 — momentum has cooled. Look elsewhere unless you've already integrated.

What other On-Device & Edge tools should I consider?

Beyond AlexsJones/llmfit, the next four highest-velocity On-Device & Edge tools beam tracks are intel/neural-compressor. Open any tool's profile for the full signal breakdown.

How does beam rank On-Device & Edge 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 AlexsJones/llmfit actively maintained?

See the live status check at /tools/71/status for the direct-answer verdict, last-commit timestamp, and 90-day velocity chart. Beam refreshes daily.

Full On-Device & Edge feed Methodology All niche picks
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