Skip to main content

TensorBored: a PyTorch-first TensorBoard fork

Project description

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.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file tensorbored_nightly-2.21.0a20260603-py3-none-any.whl.

File metadata

File hashes

Hashes for tensorbored_nightly-2.21.0a20260603-py3-none-any.whl
Algorithm Hash digest
SHA256 78d437ee7b23bddf000582a9f97fb326ba598fcd89dbc2741600ab10ca3c6ed5
MD5 02daa68ddcbfdc783622cb76fec15d61
BLAKE2b-256 c5fd5385fd0069a5c7178063c7c64931ffb41dec1b58f310fd2e5267274bd72f

See more details on using hashes here.

Provenance

The following attestation bundles were made for tensorbored_nightly-2.21.0a20260603-py3-none-any.whl:

Publisher: nightly-release.yml on Demonstrandum/tensorbored

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page