Gemini CLI
Cursor
Claude Code
ChatGPT to Notion
Void Editor
opencode
Windsurf Editor
aider
Runcell
Jupyter
Cursor
Claude Code
Augment Code
Kiro
Windsurf Editor
Julius
runcell (Jupyter AI agent) is an AI copilot built for notebooks. It understands your current kernel stateโvariables, DataFrame schemas, imports, outputsโand proposes the next best cell to move your work forward. With one command, it can draft code, execute it safely, validate the output, and automatically refine on errors. You get productionโquality cells (with comments and docstrings) and a clear audit trail of changes.
Whether youโre exploring data, transforming pipelines, or teaching with notebooks, runcell eliminates โsearchโcopyโpasteโdebugโ loops. It nudges work toward best practices (tests, assertions, checkpoints), and documents decisions for future youโor your teammates. Bring your own LLM keys, keep data in your environment, and control exactly what leaves your notebook.
Core capabilities
Naturalโlanguage to code
Drafts new cells or refactors existing ones from plainโEnglish prompts.
Incorporates notebook context (imports, variables, DataFrame dtypes, shapes) to produce runnable code.
Run, validate, iterate
Executes proposed cells, inspects outputs/exceptions, and autoโfixes common issues (missing imports, dtype mismatches, offโbyโone, plotting errors).
Contextโaware assistance
Explain cell: summarizes what a cell does and why.
Suggest next step: proposes analysis steps, visualizations, or checks based on your artifacts.
Inline docs: inserts comments, docstrings, and markdown rationale.
Environment & reproducibility
Detects missing packages and (optionally) generates a safe install cell; can export requirements.txt or environment.yml.
Data & visualization helpers
Quick EDA: profiling, missingโvalue maps, summary stats.
Transformations: joins, groupby, window ops, feature engineering.
Visuals: histograms, pairplots, line/bar charts, residual plots, interactive charts (e.g., Plotly).
Works smoothly with pandas, numpy, polars, matplotlib/plotly, and visualization helpers like pygwalker.
Gemini CLI RuncellRuncell's answer:
Runcell is the AI Agent designed for Jupyter users. It is not a simple chatbot, but an agent that can take control of your jupyter and work for you.
Runcell's answer:
Comparing with Code agent, like cursor, claude code, which are designed for software enginner, those agent does not understand data, visualization, very well. And when they coding, they directly generate all code without considering how the data distribute, what is the result of previous cells execution which are important for data science.
Based on our record, Gemini CLI seems to be more popular. It has been mentiond 32 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Google launched Gemini CLI on June 25, 2025 under the Apache 2.0 license (Google 2025). It's the only fully open-source option in this group, with a 1M-token context via Gemini 2.5 Pro and a personal-account free tier of 60 requests per minute and 1,000 requests per day. The GitHub repo at google-gemini/gemini-cli is active; GitHub Actions integration landed in late 2025. - Source: dev.to / 2 months ago
Gemini CLI was open source (Apache 2): https://github.com/google-gemini/gemini-cli Antigravity CLI is not - the repo has a README and an animated gif demo: https://github.com/google-antigravity/antigravity-cli. - Source: Hacker News / 2 months ago
Is https://github.com/google-gemini/gemini-cli not 'the flagship agent' itself? It looks that way to me, for example here's a part of the prompt https://github.com/google-gemini/gemini-cli/blob/e293424bb4973fc2a281f67c43594222263b240a/packages/core/src/prompts/snippets.ts#L178-L250. - Source: Hacker News / 4 months ago
We now have AI coding tools โ Claude Code, OpenAI Codex, Google Gemini CLI โ that can generate a complete, production-ready website from a conversation. Not a template. Not a wireframe. An actual, deployable site. - Source: dev.to / 4 months ago
Trying to make samples in large batches is different from asking for a single sample from a tool like Gemini CLI. When producing many samples at once, we see more mistakes because the statistics catch up with us. A small percentage of bad samples becomes a large number once the overall number of samples gets higher, not unlike issues in manufacturing. Here are some examples of mistakes. - Source: dev.to / 5 months ago
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Claude Code - Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebaseโno more context switching, just breakthrough results.
ChatGPT to Notion - ChatGPT to Notion lets you quickly and easily export and organize multiple ChatGPT conversations into your Notion workspace with one click.
Void Editor - Void is an open source Cursor alternative. Full privacy. Fully-featured.
Augment Code - Enhances developer collaboration by providing codebase-aware chat, intuitive code suggestions, and advanced AI-driven explanations; accelerates coding tasks, assists in understanding unseen code structures, improving communication vastly within teamโฆ