ONNX alternatives
As of 4 November 2026, 39 ml frameworks are named by companies instead of ONNX: PyTorch by 5,581 companies, TensorFlow by 4,387, scikit-learn by 1,639.
As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- ONNX, companies in postings
- 435
- Most used alternative
- PyTorch · 5,581
- Fastest hiring, 90 days
- PyTorch
- Alternatives ranked
- 39
- Catalogue
- T-1.0.1-prov
ml frameworks companies choose instead of ONNX
Companies naming each tool in their own postings, and postings in the last 90 days. Bars are relative to the category leader.
| # | Alternative | Companies | companies | vs ONNX | postings, 90 d | Compare |
|---|---|---|---|---|---|---|
| 1 | PyTorchPyTorch Foundation | 5,581 | 1283% | 17,504 | ONNX vs PyTorch → | |
| 2 | TensorFlowGoogle | 4,387 | 1009% | 12,007 | ONNX vs TensorFlow → | |
| 3 | scikit-learnscikit-learn developers | 1,639 | 377% | 3,810 | ONNX vs scikit-learn → | |
| 4 | OpenCVOpenCV.org | 812 | 187% | 1,586 | ONNX vs OpenCV → | |
| 5 | JAXGoogle | 740 | 170% | 1,878 | ONNX vs JAX → | |
| 6 | Hugging Face TransformersHugging Face | 616 | 142% | 1,263 | ONNX vs Hugging Face Transformers → | |
| 7 | KerasGoogle | 605 | 139% | 1,320 | ONNX vs Keras → | |
| 8 | XGBoostDMLC | 574 | 132% | 1,097 | ONNX vs XGBoost → | |
| 9 | LightGBMMicrosoft | 267 | 61% | 511 | ONNX vs LightGBM → | |
| 10 | Core MLApple | 214 | 49% | 426 | ONNX vs Core ML → | |
| 11 | DeepSpeedMicrosoft | 207 | 48% | 328 | ONNX vs DeepSpeed → | |
| 12 | Hugging Face PEFTHugging Face | 205 | 47% | 508 | ONNX vs Hugging Face PEFT → | |
| 13 | spaCyExplosion | 193 | 44% | 388 | ONNX vs spaCy → | |
| 14 | PyTorch FSDPMeta | 163 | 37% | 269 | ONNX vs PyTorch FSDP → | |
| 15 | YOLOUltralytics | 163 | 37% | 281 | ONNX vs YOLO → | |
| 16 | NLTKNLTK Project | 145 | 33% | 278 | ONNX vs NLTK → | |
| 17 | TensorFlow LiteGoogle | 127 | 29% | 513 | soon | |
| 18 | Megatron-LMNVIDIA | 113 | 26% | 284 | soon | |
| 19 | NVIDIA NeMoNVIDIA | 111 | 26% | 579 | soon | |
| 20 | SHAPSHAP | 100 | 23% | 215 | soon | |
| 21 | Apache TVMApache Software Foundation | 94 | 22% | 256 | soon | |
| 22 | XLAOpenXLA | 79 | 18% | 246 | soon | |
| 23 | TRLHugging Face | 61 | 14% | 96 | soon | |
| 24 | Spark MLlibApache Software Foundation | 60 | 14% | 175 | soon | |
| 25 | 52 | 12% | 142 | soon | ||
| 26 | LIMELIME | 50 | 11% | 110 | soon | |
| 27 | CatBoostYandex | 47 | 11% | 94 | soon | |
| 28 | CaffeBAIR | 45 | 10% | 87 | soon | |
| 29 | HALCONMVTec | 42 | 10% | 113 | soon | |
| 30 | verl | 40 | 9% | 113 | soon | |
| 31 | scikit-imagescikit-image | 37 | 9% | 69 | soon | |
| 32 | Amazon ComprehendAmazon | 34 | 8% | 81 | soon | |
| 33 | GensimRARE Technologies | 34 | 8% | 54 | soon | |
| 34 | FlashAttentionDao-AILab | 28 | 6% | 92 | soon | |
| 35 | Apache MXNetApache Software Foundation | 27 | 6% | 146 | soon | |
| 36 | GymnasiumFarama Foundation | 27 | 6% | 41 | soon | |
| 37 | MediaPipeGoogle | 25 | 6% | 24 | soon | |
| 38 | IREEOpenXLA | 23 | 5% | 53 | soon | |
| 39 | MLXApple | 23 | 5% | 74 | soon |
Filter on any of them, or on ONNX users who also name an alternative, and open the person who owns the stack.
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39 ml frameworks are named by companies instead of ONNX: PyTorch by 5,581 companies, TensorFlow by 4,387, scikit-learn by 1,639, measured from their own job postings. (Breaknorm, 4 November 2026, https://breaknorm.co/tools/onnx/alternatives)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- RankingCompanies whose own postings name the tool as the team's system, from the Breaknorm technology catalogue T-1.0.1-prov. Editions are folded into their parent product.
- 90-day postingsOpen postings first seen or posted in the last 90 days that name the tool.
- Not includedRatings, prices, feature claims, sponsored positions.
ONNX alternatives: questions
What is the most used alternative to ONNX?
PyTorch: 5,581 companies name it in their own job postings, against 435 for ONNX.
How is this list ranked?
By the number of companies whose own postings name the tool as the team's system (Breaknorm technology catalogue T-1.0.1-prov), then by postings in the last 90 days. No ratings, no vendor input, no sponsored positions.
Does this say which is better?
No. It says who uses what, by company size, industry and country, so you can see which tools companies like yours choose. For features and prices, read the vendors.
Can I get the companies on any of these?
Yes: click the tool, see the first 20 companies, and sign up for the full list with verified e-mails. Counting is free.
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