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What is runcell.dev?

Runcell is an innovative AI agent tailored for Jupyter notebooks, designed to understand your projects while generating and executing code, which allows you to focus on extracting valuable insights. This robust extension incorporates four unique AI-driven modes: Interactive Learning Mode functions as an AI tutor, clarifying concepts through live coding examples, comparative algorithms, and interactive visual displays; Autonomous Agent Mode takes over your notebook, executing cells independently, optimizing intricate workflows, reducing the need for manual input, and adeptly handling errors; Smart Edit Mode acts as a context-aware assistant, offering valuable code suggestions, automating optimizations, and enabling real-time improvements in syntax and logic; and AI-Enhanced Jupyter empowers you to ask questions in natural language regarding your code, generate AI-assisted solutions, and obtain personalized recommendations for your next steps, all seamlessly integrated into the user-friendly Jupyter interface. With these advanced functionalities, Runcell significantly boosts the productivity and effectiveness of programming within Jupyter notebooks, making it an essential tool for developers and data scientists alike. This ultimately transforms the coding experience into a more intuitive and efficient process.

What is StarCoder?

StarCoder and StarCoderBase are sophisticated Large Language Models crafted for coding tasks, built from freely available data sourced from GitHub, which includes an extensive array of over 80 programming languages, along with Git commits, GitHub issues, and Jupyter notebooks. Similarly to LLaMA, these models were developed with around 15 billion parameters trained on an astonishing 1 trillion tokens. Additionally, StarCoderBase was specifically optimized with 35 billion Python tokens, culminating in the evolution of what we now recognize as StarCoder. Our assessments revealed that StarCoderBase outperforms other open-source Code LLMs when evaluated against well-known programming benchmarks, matching or even exceeding the performance of proprietary models like OpenAI's code-cushman-001 and the original Codex, which was instrumental in the early development of GitHub Copilot. With a remarkable context length surpassing 8,000 tokens, the StarCoder models can manage more data than any other open LLM available, thus unlocking a plethora of possibilities for innovative applications. This adaptability is further showcased by our ability to engage with the StarCoder models through a series of interactive dialogues, effectively transforming them into versatile technical aides capable of assisting with a wide range of programming challenges. Furthermore, this interactive capability enhances user experience, making it easier for developers to obtain immediate support and insights on complex coding issues.

Media

Media

Integrations Supported

Python
Jupyter Notebook

Integrations Supported

Python
ChatGPT
CodeQwen
Git
GitHub
LM Studio
OpenAI
Tabby
Taylor AI
Visual Studio Code

API Availability

API Availability

Pricing Information

$20 per month
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

runcell.dev

Company Location

United States

Company Website

www.runcell.dev/

Company Facts

Organization Name

BigCode

Date Founded

2023

Company Website

huggingface.co/blog/starcoder

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

AI Code Generators

Not specified

AI Coding Agents

Not specified

Categories and Features

AI Code Generators

Not specified

AI Coding Assistants

Not specified

AI Coding Models

Not specified

AI Copilots

Not specified

AI Models

Not specified

AI Tools

Not specified

Large Language Models

Not specified

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