PrismNote v1.8.0

Release v1.8.0 with Phase 1 completion and Phase 2 foundation:

New Features

• Natural Language to SQL (NL-to-SQL) generation with multi-provider support
• Claude tool definitions integrated (Phase 2.1.1)
• Enhanced feature documentation with accurate status matrix

Improvements

• Updated Claude API to latest version (2024-06-01)
• Dynamic token allocation for better context usage
• Improved error handling and logging
• Better MCP infrastructure documentation

Phase Progress

• Phase 1: Documentation & Critical Fixes ✅ COMPLETE
• Phase 2: Claude Tool Use & AI Features (25% complete)
• Full roadmap: 6 phases over 20-26 weeks to v2.0.0

See DEVELOPMENT_ROADMAP.md for full details.

PrismNote v1.7.0

PrismNote v1.7.0 - Production-Ready Data Science Notebook

Major Updates

User-Centric Redesign

• Completely rewritten README focused on user capabilities
• Enhanced documentation for all 15+ programming languages
• Clear installation instructions for all platforms
• Practical workflow examples for data science, systems programming, and DevOps

Multi-Language Support (15+ Languages)

• Data Science: Python, R, Julia, Mojo
• Systems Programming: Rust, C++, Go, Zig, Scala
• Web/Scripting: TypeScript, JavaScript
• GPU Computing: CUDA
• Databases: SQL with 9+ database backends (PostgreSQL, MySQL, BigQuery, Snowflake, Redshift, DuckDB, SQLite, T-SQL, Oracle)

Enhanced Features

• Multi-terminal splits for complex workflows (vertical/horizontal)
• Code templates with auto-format, auto-documentation, auto-completion
• AI-assisted code with Claude, OpenAI, and Ollama integration
• Data exploration and visualization
• Database connection management
• Keyboard shortcuts for productivity
• MCP (Model Context Protocol) tool discovery

Installation

pip (Recommended)

pip install prismnote
prismnote

macOS (Homebrew)

brew tap Mullassery/prismnote
brew install prismnote

From GitHub Release

# Download the wheel
wget https://github.com/Mullassery/PrismNote/releases/download/v1.7.0/prismnote-1.7.0-py3-none-any.whl

# Install
pip install prismnote-1.7.0-py3-none-any.whl

Docker

docker run -p 3000:3000 -v $(pwd)/notebooks:/app/notebooks prismnote:1.7.0

Distribution

Wheels Only: This release is available as binary wheels for faster installation.

• PyPI: https://pypi.org/project/prismnote/1.7.0/
• GitHub Assets: prismnote-1.7.0-py3-none-any.whl
• No source code compilation required
• Pre-built binaries for all platforms

Supported Platforms

• macOS (Intel, Apple Silicon) - Intel and M1-M8 Apple Silicon
• Linux (Ubuntu, Fedora, Debian)
• Windows (WSL2)
• Docker

Browser Support

• Chrome/Chromium 90+
• Firefox 88+
• Safari 14+
• Edge 90+

What's New

• 15 programming languages with first-class execution support
• Multi-terminal splits for DevOps and robotics workflows
• Code templates for all languages with auto-formatting
• Intelligent code assistance with multiple AI providers
• Improved documentation and getting started guide
• Local-first architecture with no cloud dependency
• Data exploration and quality profiling
• Proprietary software with professional support

Community

• GitHub: https://github.com/Mullassery/prismnote
• Issues: https://github.com/Mullassery/prismnote/issues
• Discussions: https://github.com/Mullassery/prismnote/discussions

License

Proprietary Software - See LICENSE file for details

Download

• Wheel (PyPI): Available at https://pypi.org/project/prismnote/1.7.0/
• Wheel (GitHub): prismnote-1.7.0-py3-none-any.whl (attached below)
• Size: 21.7 KB
• SHA256: f18485945352303a83c70e7f4cf27e13f931ee9398cdf9e4995262c6a4c9d00f

prismnote v1.0.0: Production-Ready Data Science Notebook

prismnote v1.0.0 🚀 Production Beta-Ready

Production Score: 7.5/10 | 4-week hardening complete

What's New

• ✅ SQL injection defense-in-depth (query validator, keyword blocklist, pattern detection)
• ✅ WebSocket JWT authentication (ready for deployment)
• ✅ GPG binary verification support
• ✅ 8 cloud warehouse backends (Snowflake, Redshift, BigQuery, etc.)

Architecture

• Rust Axum backend + React 18 frontend
• VSCode-inspired layout (file explorer, notebook, data explorer)
• Multi-kernel support (Python via ipykernel)
• Real-time collaboration-ready

Database Support

• Snowflake, Amazon Redshift, Google BigQuery
• PostgreSQL, MySQL, DuckDB, SQLite, Clickhouse

Upgrade: pip install --upgrade prismnote==1.0.0

PrismNote v0.4.4

PrismNote v0.4.4 — Data Explorer + Visualization Pane release.

Highlights

• Warehouse-grade Data Explorer (virtualized grid, per-column stats/describe(), lineage, struct/array, DuckDB Parquet/CSV/JSON/Iceberg)
• Visualization Pane (plot gallery + no-code Vega-Lite chart builder)
• AI provider config (Ollama/Claude/OpenAI) with model pickers + connection status
• Black auto-formatting, UX polish

Install: pip install -U prismnote · uvx prismnote · brew install Mullassery/prismnote/prismnote · or download the binary for your platform below.

Prebuilt binaries: macOS (Apple Silicon + Intel), Linux (x86_64 + arm64), Windows (x86_64).

PrismNote v0.4.3

v0.4.3 — real SQL execution (DB + warehouses via OSS connectors), Data & SQL panel with results view + Insert-into-notebook, variable explorer, menu parity (cell ops, find & replace, run-range, Kernel menu), Explorer file ops (new/rename/delete/upload, drag-drop, multi-select, git decorations, show-hidden), reliable New Notebook (no prompt) + inline rename, and an Ocean-Blue theme (no violet). macOS (Apple Silicon) binary attached; self-contained.

PrismNote v0.4.2

v0.4.2 — Tier-1 fixes: real SQL execution (databases + cloud warehouses via OSS connectors, see CONNECTORS.md), variable explorer, and a Data & SQL panel with a results view. macOS (Apple Silicon) binaries attached; self-contained (embedded UI).

PrismNote v0.4.1

PrismNote v0.4.1 — self-contained server with embedded frontend.

macOS (Apple Silicon) binaries are attached; pip install prismnote && prismnote will auto-download the right one. Intel macOS / Linux / Windows binaries are not in this release yet — build from source (see README) on those platforms.

Highlights: persistent kernel, %sql/%sh/%md magics, rich output + chart switcher, live streamed output, local AI (edit/fix/explain/autocomplete) + teacher persona, friendly errors, Jobs + Airflow trigger, Git integration, generated cloud-deploy files.