GraphCanon updated 2w · GitHub synced 2w
Decision brief
IceVision is an agnostic computer vision framework that supports integration with multiple training libraries including Fast.ai and PyTorch-Lightning.
Good fit when
- Use IceVision if you are working on Linux or MacOS environments, as the project only supports these operating systems.
- If your project requires flexibility in terms of using various training libraries like Fast.ai and PyTorch-Lightning, without needing to switch frameworks during development.
Avoid when
- Do not use IceVision if you are working on Windows, because the framework does not support this operating system.
- Avoid IceVision in scenarios where there is a strict dependency on a third-party tool or library that is incompatible with Fast.ai and PyTorch-Lightning.
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (611d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install icevisionHow it fits your stack(1)
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Relationship graph
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
IceVision is a flexible computer vision framework that supports integration with different training libraries like Fast.ai and PyTorch-Lightning.
Capability facts
- Languages
- python
Source: github.language · Jul 31, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 31, 2026)
pip install icevision[all]Source link
Tags
README
Installation
pip install icevision[all]
For more installation options, check our docs.
Important: We currently only support Linux/MacOS.
For agents
This page has a .md twin and JSON over the API.