Shareable URLs for notebook outputs — snap any chart, DataFrame, or figure into a live link
Project description
Skua
Shareable URLs for notebook outputs
One function call turns plots, DataFrames, and text into permanent links. Re-run the cell to update — same URL, fresh results.
Installation
pip install getskua
No setup required. No account, no API key.
Quick Start
import matplotlib.pyplot as plt
import skua
fig, ax = plt.subplots()
ax.plot([1, 2, 3], [1, 4, 9])
ax.set_title("Quadratic Growth")
result = skua.snap(fig, title="Quadratic Growth")
print(result.url) # https://skua.dev/s/abc123
Share the URL with anyone. Call skua.snap() again with the same title to update in place.
CLI
Works with any tool that can run shell commands — AI coding assistants, CI pipelines, scripts.
skua snap chart.png --title "Q3 Revenue"
skua snap data.csv --title "Sales Data" --public --tags "finance,q3"
skua snap plot.json --title "Interactive Chart"
cat report.txt | skua snap - --type text --title "Analysis"
Use --json for machine-readable output:
skua snap chart.png --title "Chart" --json
# {"url": "https://skua.dev/s/abc123", "id": "abc123", "visibility": "public"}
Supported Types
Skua auto-detects the object type and picks the right serializer:
- Matplotlib figures — high-DPI PNG
- Plotly figures — fully interactive (zoom, pan, hover, export)
- Pandas DataFrames — sortable, filterable tables
- Polars DataFrames — same interactive tables (LazyFrames collected automatically)
- NumPy arrays — rendered as tables
- PIL Images — saved as PNG
- Lists of dicts — rendered as tables (handy for HuggingFace pipelines, eval loops)
- PyTorch / TensorFlow tensors — image tensors as PNG, others as tables
- Anything else — falls back to string representation
API
skua.snap(obj, title, description=None, public=None, tags=None)
Capture and share a Python object. Returns a SnapResult with .url and .metadata.
In Jupyter, the original object is displayed inline.
tags— optional list of strings for categorization (max 20 tags, 30 chars each). Displayed on the snapshot page and profile listing.
skua.configure(public=None, api_url=None, web_url=None, token=None)
Set session-wide defaults. Call once at the top of a notebook — per-call arguments override.
skua.login()
Open the browser to verify your email. Verified accounts get 90-day retention (vs 7 days), 50 snapshots (vs 10), and a public profile page at skua.dev/u/username.
skua.auth("sk_...")
Paste the token you receive by email after skua.login().
Limits
Anonymous sessions work out of the box:
- 7-day retention, 10 snapshots, 20 uploads/hour, 10 MB per snapshot
Verify your email to unlock:
- 90-day retention (resets on update, 1-year max), 50 snapshots, 10 MB per snapshot
Privacy
Every snapshot is accessible to anyone who has its URL. URLs contain random IDs that are not guessable or listed anywhere, but there is no login-gated access control. The public flag only controls whether a snapshot appears on your profile page — it does not restrict access to the URL itself. Do not snap sensitive data.
Documentation
Full docs, live examples, and the API reference at skua.dev/docs.
License
MIT
Support
Questions or feedback? Email hello@skua.dev or open an issue on GitHub.
Project details
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