epochix 0.3.5

Visual storytelling for deep learning training runs.

Epochix

Visual storytelling for deep learning training runs.

Turn terminal training logs into an animated, plain-English narrative anyone can understand.

Epoch 7/20  ████████████░░░░  train_loss: 0.312  val_accuracy: 0.847

↓

⚡ Mastering phase — Grade B+

The model reaches a significant milestone at epoch 7. Val accuracy 84.7%
(Δ +3.1%) — the network has stopped memorising and started generalising.

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Install

pip install epochix

Optional extras:

pip install "epochix[pdf]"       # PDF export via WeasyPrint
pip install "epochix[lightning]" # PyTorch Lightning callback
pip install "epochix[hf]"        # HuggingFace Trainer callback
pip install "epochix[all]"       # everything above

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Quick start

Try it instantly — no log of your own needed

epochix demo            # seq2seq + attention narrative
epochix demo yolov8     # YOLO object detection
epochix demo keras      # Keras image classifier

One-liner: pipe any training log

python train.py 2>&1 | epochix --live

Parse a saved log file

epochix training.log    # any subcommand can be omitted — it's the default

Stream a remote log over SSH

Training on a GPU box / cluster node, dashboard on your laptop:

# Direct: tail any remote log into the local dashboard
epochix --ssh kv@trainbox:/workspace/runs/train.log

# With extras (jump host, custom port, key)
epochix --ssh kv@trainbox:/workspace/train.log \
            --ssh-port 2222 \
            --ssh-identity ~/.ssh/id_ed25519 \
            --ssh-opt ProxyJump=bastion.example.com

We spawn ssh -o BatchMode=yes -o ServerAliveInterval=30 <host> 'tail -F …' under the hood — your credentials, ~/.ssh/config, agent and keys are inherited automatically. The remote path is shell-quoted before being sent so exotic filenames are safe. Connection drops surface as a clear error rather than hanging.

The classic Unix pipe still works too if you prefer:

ssh trainbox 'tail -F /workspace/runs/train.log' | epochix --live

Start the local dashboard server

epochix serve
# → opens http://127.0.0.1:7860 in your browser

Python SDK

from epochix import parse, LiveReporter

# Parse a finished log
result = parse("training.log")
print(result.final_grade, result.summary)

# Stream live during training (PyTorch Lightning)
from epochix.integrations.lightning import EpochixCallback

trainer = pl.Trainer(callbacks=[EpochixCallback()])

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Features

7 log parsers	PyTorch Lightning · Keras/TF · HuggingFace · YOLO · FastAI · Accelerate · Universal
7 task types	Classification · Detection · Regression · Biometric · Gaze · NLP · Generative
5 training phases	Awakening → Learning → Understanding → Mastering → Polishing
11 letter grades	A+ through F, task-specific thresholds, configurable via .epochix.yaml
Live streaming	WebSocket + SSE with ring-buffer replay on reconnect
Exports	JSON · Markdown · HTML (self-contained < 2 MB) · PDF
i18n	English · Farsi (RTL) · French
VS Code	Sidebar dashboard · terminal watcher · Ctrl+Alt+M
Integrations	PyTorch Lightning · HuggingFace · Keras · Jupyter magics · TensorBoard · W&B
Plugin system	Custom parsers, metaphor packs, task types, exporters via entry_points

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Security & deployment

epochix is secure-by-default:

• the server binds to 127.0.0.1 (loopback only),
• read endpoints are open to any same-origin page on your machine,
• write/delete endpoints require either a Bearer token or a same-machine (loopback) caller — so a malicious tab on another site cannot delete runs or inject metric events,
• CORS is same-origin only (no Access-Control-Allow-Origin is emitted unless you configure EPOCHIX_CORS_ORIGINS),
• the OpenAPI / Swagger UI is hidden unless EPOCHIX_EXPOSE_DOCS=1 is set or an auth token is configured.

To expose the server beyond your own machine (a shared box, a container, the internet), turn on authentication and configure the allowed origins:

# Require a token on every request, and only allow your own origin
export EPOCHIX_AUTH_TOKEN="$(openssl rand -hex 24)"
export EPOCHIX_CORS_ORIGINS="https://story.example.com"
epochix serve --host 0.0.0.0 --port 7860

Setting	Env var	Default	Effect
Auth token	EPOCHIX_AUTH_TOKEN	(empty)	Require a token on all routes; write/delete also accept loopback callers when this is empty
CORS origins	EPOCHIX_CORS_ORIGINS	(empty — same-origin only)	Comma-separated allowlist (use the explicit * to opt into open CORS)
Expose API docs	EPOCHIX_EXPOSE_DOCS	false	Show /api/docs, /api/redoc, /api/openapi.json (auto-on when an auth token is set)

How the token is checked:

• REST (/api/*): send Authorization: Bearer <token>.
• WebSocket / SSE (/ws/live/..., /sse/live/...): pass ?token=<token> in the URL (browsers can't set headers on those transports). Without it, live streams are refused.

Note: wildcard CORS (*) and credentialed requests are never combined — credentials are enabled only when you set explicit origins. And when a token is configured, the bundled dashboard has no way to supply it, so live updates won't load from the served page. For authenticated hosting, put epochix behind a reverse proxy (nginx, Caddy, Cloudflare Access, …) that handles auth and serves the UI.

Settings can also be written to a local .env:

epochix config set auth_token "$(openssl rand -hex 24)"
epochix config show

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Custom grade thresholds

Place a .epochix.yaml in your project root:

version: 1

grade_thresholds:
  classification:
    "A+": 0.97   # tighter standard for your domain
    A:    0.93
    # ... (see .epochix.yaml template for all grades)

lower_better:
  nlp: true      # perplexity

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VS Code Extension

Install from the VS Code Marketplace or search "Epochix" in the Extensions panel.

• Open the Epochix Runs tree view in the Explorer sidebar
• Press Ctrl+Alt+M (Cmd+Alt+M on macOS) to open the dashboard panel
• Works in standalone mode (no Python required) or sidecar mode with the Python package

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Claude Artifact

Copy the content of src/epochix/_artifacts/epochix.artifact.jsx into a Claude conversation artifact to get a fully interactive training story viewer — no server, no install.

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Documentation

Full docs at docs.epochix.dev

• Getting started
• CLI reference
• Python SDK
• Plugin system
• Configuration

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Contributing

git clone https://github.com/epochix-dev/epochix
cd epochix
pip install -e ".[dev]"
pytest tests/unit tests/integration

Please read CONTRIBUTING.md before opening a pull request.

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License

Apache 2.0 — © 2026 Epochix Team