This release is a pre-release and may not be stable for production use.
TensorBored is a suite of web applications for inspecting and understanding your training runs and graphs, with a focus on PyTorch compatibility.
This is a fork of TensorBoard. Install with pip install tensorbored.
For PyTorch projects, use from tensorbored.torch import SummaryWriter — a drop-in replacement that removes the need to install the original tensorboard package.
1 maintainer
Metadata
1 maintainer
Release files for tensorbored-nightly 2.21.0a20260228
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tensorbored_nightly-2.21.0a20260228-py3-none-any.whl | Python 3 | none | any | Details |
Release files / tensorbored_nightly-2.21.0a20260228-py3-none-any.whl
| Download URL | tensorbored_nightly-2.21.0a20260228-py3-none-any.whl |
|---|---|
| Size | 6.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e83a2f43d99006eeb7dea69ef3584a3b707f6bbdc12e4f2bd5315c8e978aeb90
|
|
BLAKE2b-256 checksum How to use checksums |
cb4b60972cc23e15148929a3dedf81b57ac3d699894dc38776679c9698077cd0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 28, 2026.
Transparency log
