Releases: adchamberlain/story-analytics
Releases · adchamberlain/story-analytics
v1.0.3 — Python Notebooks in Desktop App
What's New
Python notebooks now work in the desktop app. Previously, notebooks required a Jupyter kernel subprocess which couldn't run inside the frozen PyInstaller binary. This release adds an in-process Python kernel that executes code directly in the server process.
Desktop Notebook Features
- Full Python execution with persistent variables across cells
- Built-in data science stack: pandas, numpy, matplotlib, seaborn, statsmodels, scipy
- matplotlib inline rendering (charts display as PNG in cell output)
display()function with rich HTML output (DataFrames render as HTML tables)- SQL cells continue to work via DuckDB
- Kernel restart clears all variables
- Error tracebacks with full context
Downloads
| Platform | Download |
|---|---|
| Apple Silicon (M1/M2/M3/M4) | Story-Analytics-arm64.dmg |
| Intel Mac | Story-Analytics-x64.dmg |
Signed and notarized by Apple.
v1.0.2
What's Fixed
- Desktop app fails to start — v1.0.1 would get stuck on "Starting up..." and never open. Root cause: the Python notebook kernel manager imported
jupyter_clientat module level, which isn't available in the bundled desktop app. Fixed with a lazy import that gracefully degrades when Jupyter packages are absent.
Download
| Chip | Download |
|---|---|
| Apple Silicon (M1/M2/M3/M4) | Story-Analytics-arm64.dmg |
| Intel | Story-Analytics-x64.dmg |
Signed and notarized by Apple.
Story Analytics v1.0.0
Story Analytics v1.0.0 — Desktop App for macOS
The first official release of Story Analytics as a native macOS desktop app.
Highlights
- 25 chart types powered by Observable Plot (D3)
- AI-powered SQL generation from natural language
- Connect to Snowflake or import CSV files
- Auto-save chart configurations as you edit
- Export charts as HTML or download data as CSV
Download
| File | Mac Type |
|---|---|
| Story Analytics-1.0.0-arm64.dmg | Apple Silicon (M1, M2, M3, M4) |
| Story Analytics-1.0.0-x64.dmg | Intel |
Not sure which Mac you have? Click the Apple menu () → "About This Mac". If the chip says "Apple M1" (or M2/M3/M4), download the arm64 version. If it says "Intel", download the x64 version.
Signed and notarized by Apple for secure installation.