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Hugging Face Transformers alternatives_

As of 4 November 2026, 39 ml frameworks are named by companies instead of Hugging Face Transformers: 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.

Hugging Face Transformers, companies in postings
616
Most used alternative
PyTorch · 5,581
Fastest hiring, 90 days
PyTorch
Alternatives ranked
39
Catalogue
T-1.0.1-prov
01 — Ranked by evidence

ml frameworks companies choose instead of Hugging Face Transformers

Companies naming each tool in their own postings, and postings in the last 90 days. Bars are relative to the category leader.

#AlternativeCompaniescompaniesvs Hugging Face Transformerspostings, 90 dCompare
1
PyTorchPyTorch Foundation
5,581906%17,504Hugging Face Transformers vs PyTorch →
2
4,387712%12,007Hugging Face Transformers vs TensorFlow →
3
scikit-learnscikit-learn developers
1,639266%3,810Hugging Face Transformers vs scikit-learn →
4
OpenCVOpenCV.org
812132%1,586Hugging Face Transformers vs OpenCV →
5
JAXGoogle
740120%1,878Hugging Face Transformers vs JAX →
6
KerasGoogle
60598%1,320Hugging Face Transformers vs Keras →
7
57493%1,097Hugging Face Transformers vs XGBoost →
8
ONNXLinux Foundation
43571%835Hugging Face Transformers vs ONNX →
9
LightGBMMicrosoft
26743%511Hugging Face Transformers vs LightGBM →
10
Core MLApple
21435%426Hugging Face Transformers vs Core ML →
11
DeepSpeedMicrosoft
20734%328Hugging Face Transformers vs DeepSpeed →
12
Hugging Face PEFTHugging Face
20533%508Hugging Face Transformers vs Hugging Face PEFT →
13
spaCyExplosion
19331%388Hugging Face Transformers vs spaCy →
14
16326%269Hugging Face Transformers vs PyTorch FSDP →
15
YOLOUltralytics
16326%281Hugging Face Transformers vs YOLO →
16
NLTKNLTK Project
14524%278Hugging Face Transformers vs NLTK →
17
12721%513soon
18
11318%284soon
19
11118%579soon
20
SHAPSHAP
10016%215soon
21
Apache TVMApache Software Foundation
9415%256soon
22
XLAOpenXLA
7913%246soon
23
TRLHugging Face
6110%96soon
24
Spark MLlibApache Software Foundation
6010%175soon
25
528%142soon
26
LIMELIME
508%110soon
27
CatBoostYandex
478%94soon
28
CaffeBAIR
457%87soon
29
HALCONMVTec
427%113soon
30
verl
406%113soon
31
scikit-imagescikit-image
376%69soon
32
Amazon ComprehendAmazon
346%81soon
33
GensimRARE Technologies
346%54soon
34
FlashAttentionDao-AILab
285%92soon
35
Apache MXNetApache Software Foundation
274%146soon
36
GymnasiumFarama Foundation
274%41soon
37
MediaPipeGoogle
254%24soon
38
IREEOpenXLA
234%53soon
39
MLXApple
234%74soon
18,225 companies name a ml framework in their postings.

Filter on any of them, or on Hugging Face Transformers 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 Hugging Face Transformers: 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/hugging-face-transformers/alternatives)
How we know

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.
FAQ

Hugging Face Transformers alternatives: questions

What is the most used alternative to Hugging Face Transformers?

PyTorch: 5,581 companies name it in their own job postings, against 616 for Hugging Face Transformers.

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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