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Tools · ml frameworks · Alternatives

NLTK alternatives

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

NLTK, companies in postings
145
Most used alternative
PyTorch · 5,581
Fastest hiring, 90 days
PyTorch
Alternatives ranked
39
Catalogue
T-1.0.1-prov
01Ranked by evidence

ml frameworks companies choose instead of NLTK

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

#AlternativeCompaniescompaniesvs NLTKpostings, 90 dCompare
1
PyTorchPyTorch Foundation
5,5813849%17,504NLTK vs PyTorch →
2
4,3873026%12,007NLTK vs TensorFlow →
3
scikit-learnscikit-learn developers
1,6391130%3,810NLTK vs scikit-learn →
4
OpenCVOpenCV.org
812560%1,586NLTK vs OpenCV →
5
JAXGoogle
740510%1,878NLTK vs JAX →
6
616425%1,263NLTK vs Hugging Face Transformers →
7
KerasGoogle
605417%1,320NLTK vs Keras →
8
574396%1,097NLTK vs XGBoost →
9
ONNXLinux Foundation
435300%835NLTK vs ONNX →
10
LightGBMMicrosoft
267184%511NLTK vs LightGBM →
11
Core MLApple
214148%426NLTK vs Core ML →
12
DeepSpeedMicrosoft
207143%328NLTK vs DeepSpeed →
13
Hugging Face PEFTHugging Face
205141%508NLTK vs Hugging Face PEFT →
14
spaCyExplosion
193133%388NLTK vs spaCy →
15
163112%269NLTK vs PyTorch FSDP →
16
YOLOUltralytics
163112%281NLTK vs YOLO →
17
12788%513soon
18
11378%284soon
19
11177%579soon
20
SHAPSHAP
10069%215soon
21
Apache TVMApache Software Foundation
9465%256soon
22
XLAOpenXLA
7954%246soon
23
TRLHugging Face
6142%96soon
24
Spark MLlibApache Software Foundation
6041%175soon
25
5236%142soon
26
LIMELIME
5034%110soon
27
CatBoostYandex
4732%94soon
28
CaffeBAIR
4531%87soon
29
HALCONMVTec
4229%113soon
30
verl
4028%113soon
31
scikit-imagescikit-image
3726%69soon
32
Amazon ComprehendAmazon
3423%81soon
33
GensimRARE Technologies
3423%54soon
34
FlashAttentionDao-AILab
2819%92soon
35
Apache MXNetApache Software Foundation
2719%146soon
36
GymnasiumFarama Foundation
2719%41soon
37
MediaPipeGoogle
2517%24soon
38
IREEOpenXLA
2316%53soon
39
MLXApple
2316%74soon
18,225 companies name a ml framework in their postings.

Filter on any of them, or on NLTK users who also name an alternative, and open the person who owns the stack.

Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.

Cite this

Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.

39 ml frameworks are named by companies instead of NLTK: 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/nltk/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

NLTK alternatives: questions

What is the most used alternative to NLTK?

PyTorch: 5,581 companies name it in their own job postings, against 145 for NLTK.

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.

Companies and people

Get these companies your way

The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.

Every company on NLTK
or on what replaces it

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