Apache TVM

7.3easy start · #5 of 36
in Deep Learning Software

Free to practise onyes
Free trialnot on record
Well documentedyes
Runs where you workyes

Runs on Android, api, iOS, Linux, Mac, self-hosted, Web, Windows.

Apache TVM is ranked #5 of 36 in deep learning software on The Geeks Club. It runs on Android, API, iOS, Linux, macOS, Self-hosted, Web, Windows. There is a free plan.

Apache TVM plans and pricing

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Apache TVM Free open-source software · Apache License 2.0 apache.org · 1 Oct 2026

Compared on deep learning software

Free plan: Yes
Deployment targets: multiple
GPU acceleration: Yes
Supported languages: Python
Model formats: PyTorch, ONNX

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The record

What it does: Apache TVM is a machine learning compilation framework that compiles pre-trained models into deployable modules.
Python-first: Its optimization process is customizable in Python without recompiling the TVM stack.
Composable optimization: The optimization process supports composing new optimization passes, libraries and codegen.
Model importers: TVM supports importing models from PyTorch, ONNX and TensorFlow Lite.
Deployment backends: TVM supports CPU, GPU and emerging backends, including Metal, ROCm, Vulkan, OpenCL, x86, ARM and WebAssembly.
Mobile and browser runtime: Its lightweight runtime can run compiled code in JavaScript, Java, Python and C++ on Android, iOS, Raspberry Pi and web browsers.
Installation: Users can install TVM from PyPI, build it from source or use Docker images.
Cross compilation: TVM supports cross-compilation and RPC deployment to ARM, x86, RISC-V, embedded systems and accelerator devices.
Runtime footprint: The default generated binary relies on a minimum runtime API and limited system calls such as malloc.
RPC security: The TVM RPC server assumes trusted users and trusted networks, allows arbitrary file writes and provides full remote code execution to API users.
Security reporting: Undisclosed vulnerabilities should be reported to the Apache Software Foundation private security mailing list at [email protected].
Community and support: The project provides contributor guidance, community guidelines, code reviews, testing guidance, release processes and a security guide.
Project origin: TVM began as a research project at the University of Washington's Paul G. Allen School and later joined the Apache incubator.
Price from: Free

Where it ranks on The Geeks Club

Best Deep Learning Software in 2026#5 of 36

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Sources

tvm.apache.org/docs/get_started/overview.html· checked 1 Oct 2026
tvm.apache.org/docs/how_to/tutorials/import_model.html· checked 1 Oct 2026
tvm.apache.org/docs/get_started/tutorials/ir_module.ht· checked 1 Oct 2026
tvm.apache.org/2017/08/17/tvm-release-announcement.htm· checked 1 Oct 2026
tvm.apache.org/docs/install/index.html· checked 1 Oct 2026
tvm.apache.org/docs/how_to/tutorials/cross_compilation· checked 1 Oct 2026
tvm.apache.org/docs/reference/security.html· checked 1 Oct 2026
tvm.apache.org/docs/· checked 1 Oct 2026
tvm.apache.org/2019/03/18/tvm-apache-announcement· checked 1 Oct 2026
apache.org/foundation/· checked 1 Oct 2026