Fastai is used in Python projects. fastai simplifies training fast and accurate neural nets using modern best practices It has 17 direct runtime dependencies. Check its dependency graph on PyDeps to understand the full transitive dependency tree, reverse dependents, known CVEs, and license compatibility before installing.
fastai simplifies training fast and accurate neural nets using modern best practices
fastai declares 17 direct runtime dependencies on PyPI. Each one is resolved into the full dependency tree below:
Beyond its direct dependencies, fastai can pull in further packages through its dependency tree. PyDeps resolves the entire chain from PyPI and deps.dev so you can see every transitive (nested) dependency of fastai, expand any node on demand, and understand the full set of code that ships when you run pip install fastai.
PyDeps checks fastai and every package in its dependency tree against the OSV vulnerability database in real time. For each CVE you can see the severity, the affected version ranges, and the first fixed version, so you know exactly which fastai version is safe to install before you ship.
fastai is distributed under the Apache-2.0 license. PyDeps also shows the license of every dependency in the tree so you can audit license compatibility across your whole fastai install, not just the top-level package.
Install from PyPI with pip install fastai. For offline or air-gapped environments, PyDeps can download fastai together with every resolved dependency as wheel files in a single bundle, matched to your target Python version and operating system.
Switch to the dependents view to see the reverse dependencies of fastai — the PyPI packages that list fastai as a requirement. Reverse dependencies are a strong signal of how widely a package is trusted and how disruptive a breaking change would be.