JupyterLab

JupyterLab

Jupyter
StarCoder

StarCoder

BigCode
+
+

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About

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular, write plugins that add new components and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.

About

StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers searching for a solution to develop open-source software, open-standards, and services for interactive computing

Audience

Developers interested in an LLM for code generation

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Jupyter
Founded: 2014
jupyter.org

Company Information

BigCode
Founded: 2023
huggingface.co/blog/starcoder

Alternatives

Alternatives

CodeGemma

CodeGemma

Google
CodeQwen

CodeQwen

Alibaba
DeepSeek Coder

DeepSeek Coder

DeepSeek
Jupyter Notebook

Jupyter Notebook

Project Jupyter
Tabby

Tabby

Tabby ML

Categories

Categories

Integrations

Python
AWS Marketplace
Apache Spark
Arize Phoenix
Baidu AI Cloud Machine Learning (BML)
C++
CodeSquire
Git
Intel Tiber AI Cloud
JSON
Java
Julia
Jupyter Notebook
JupyterHub
LM Studio
Scala
Taylor AI
Visual Studio Code
Zed
neptune.ai

Integrations

Python
AWS Marketplace
Apache Spark
Arize Phoenix
Baidu AI Cloud Machine Learning (BML)
C++
CodeSquire
Git
Intel Tiber AI Cloud
JSON
Java
Julia
Jupyter Notebook
JupyterHub
LM Studio
Scala
Taylor AI
Visual Studio Code
Zed
neptune.ai
Claim JupyterLab and update features and information
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Claim StarCoder and update features and information