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PyTorch

Framework · Meta · Catalog tech@1

Deep learning framework.

Categories
Matched as
  • pytorch
  • torch

Momentum

Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works

Momentum

Collecting0 of 5 signals

No score yet. Momentum is published only when at least 2 of the 5 signals have history. PyTorch has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.

Snapshot OCT 24, 2026 · Scoring tech@1

Official repository stars
Collecting
Star growth needs repository snapshots 30 days apart.103,616 stars now
Member repository stars
Collecting
Star growth needs repository snapshots 30 days apart.0 new members in 30 days
Package adoption
Not published by its registries
Its packages’ registries publish no adoption figure, so there is nothing to grow.
Open models
No official models
No official model on Hugging Face, so this signal does not apply.
News
Collecting
News counts once there are 3 events across the last 60 days; it has 2.2 in the last 30 days · 0 in the 30 before

Adoption by registry

The growth of PyTorch’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.

No registry has two observations of PyTorch’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.

News activity

Events · 7 days
2published events that mention it
Events · 30 days
2published events that mention it
Previous 30 days
0events in the 30 days before

Momentum history

Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.

Repositories

Official 1

  • pytorch/pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Official repositoryPython

    103.6K

Members 794repositories tagged with one of its aliases, most-starred first

Packages

“Is” packages are PyTorch itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.

Is 1the technology itself, most-adopted first

  • torch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Listed in the catalogPyPI

    Not published by PyPI

Ecosystem 582packages that depend on it, most-adopted first

  • tensordict-nightly

    A dict[str, torch.Tensor] that behaves like one tensor.

    Depends on torchPyPI

    Not published by PyPI
  • tensorizer

    A tool for fast PyTorch module, model, and tensor serialization + deserialization.

    Depends on torchPyPI

    Not published by PyPI
  • tensorrt-llm

    TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.

    Depends on torchPyPI

    Not published by PyPI
  • textattack

    A library for generating text adversarial examples

    Depends on torchPyPI

    Not published by PyPI
  • thop

    A tool to count the FLOPs of PyTorch model.

    Depends on torchPyPI

    Not published by PyPI
  • tianshou

    A Library for Deep Reinforcement Learning

    Depends on torchPyPI

    Not published by PyPI
  • tile-kernels

    Tilelang-based kernels.

    Depends on torchPyPI

    Not published by PyPI
  • tilelang

    A tile level programming language to generate high performance code.

    Depends on torchPyPI

    Not published by PyPI
  • tilert

    TileRT: Tile-Based Runtime for Ultra-Low-Latency LLM Inference.

    Depends on torchPyPI

    Not published by PyPI
  • timecopilot-chronos-forecasting

    Chronos: Pretrained models for time series forecasting

    Depends on torchPyPI

    Not published by PyPI
  • timecopilot-timesfm

    Open weights time-series foundation model from Google Research.

    Depends on torchPyPI

    Not published by PyPI
  • timm

    PyTorch Image Models

    Depends on torchPyPI

    Not published by PyPI

Latest news the 3 latest events that mention it