Epokio
Watch, compare, queue and report machine learning training runs from a web page, a tray icon, a terminal or the macOS menu bar. Epokio reads the files your framework already writes, so there is no logging code to add, no account and no cloud.
What it does
- See every run on this machine or a remote GPU box: state, epoch, time left, best score, curves, plain-language notes ("recall is much higher than precision…") and the result images your framework saved.
- Get told when a run finishes, fails (NaN loss), stalls or reaches a target score: on the Mac, in the tray, or as a phone push (ntfy, Slack, Discord, Telegram).
- Compare runs: only the settings that differ, a settings table for a whole sweep next to each run's main score, CSV export and Markdown reports.
- Start and queue runs (Ultralytics YOLO) from the web page, one at a time on each GPU, with a data check before
starting, a one-button Python setup (CUDA PyTorch on NVIDIA machines), resume from
weights/last.pt, and failure causes in plain words. - AI assistants can read and queue runs through the MCP server (
pip install "epokio[mcp]").
Reads Ultralytics (results.csv), Hugging Face Trainer (trainer_state.json), PyTorch Lightning
(metrics.csv), Keras (CSVLogger) and TensorBoard event files (read without TensorFlow). A hand-written
loop shows up with two lines:
import epokio
with epokio.start("runs/my-model", epochs=50, lr=1e-4) as run:
for epoch in range(50):
...
run.log(val_loss=vl, accuracy=acc)
Start
pip install epokio
epokio setup # finds your runs, starts the helper, opens the page
epokio setup --lan # also let your phone or another computer watch this machine
Other commands: epokio watch (terminal view, good over SSH), epokio tray (pip install "epokio[tray]"),
epokio doctor (what Epokio sees, for a bug report), epokio agent --stop.
Viewing is open on this machine; anything that starts, stops or changes something needs the machine's token
(epokio agent --show-token). The helper uses only the Python standard library.
MIT licence.
1 maintainer
Metadata
1 maintainer
Release files for epokio 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| epokio-0.6.0.tar.gz | 546.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| epokio-0.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.0 MB
Release files / epokio-0.6.0.tar.gz
| Download URL | epokio-0.6.0.tar.gz |
|---|---|
| Size | 546.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / epokio-0.6.0-py3-none-any.whl
| Download URL | epokio-0.6.0-py3-none-any.whl |
|---|---|
| Size | 499.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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