Search Results for "jupyter"
Sort By:
Showing 18 open source projects for "jupyter"
View related business solutions-
Inventory and Order Management Software for Multichannel SellersWe are the most powerful inventory and order management platform for Amazon, Walmart, and multichannel product sellers. Centralize orders, product information, and fulfillment operations to run more efficiently, sell more products, and stay compliant with marketplace requirements so you can grow profitably.
-
Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
-
1
Jupyter Notebook
Jupyter Interactive Notebook
The notebook extends the console-based approach to interactive computing in a qualitatively new direction, providing a web-based application suitable for capturing the whole computation process: developing, documenting, and executing code, as well as communicating the results. The Jupyter notebook combines two components. A web application, which is a browser-based tool for interactive authoring of documents which combine explanatory text, mathematics, computations and their rich media output. And Notebook documents, which are a representation of all content visible in the web application, including inputs and outputs of the computations, explanatory text, mathematics, images, and rich media representations of objects. ... -
2
Jupyter Nbextensions Configurator
A jupyter notebook serverextension providing config interfaces
A server extension for jupyter notebook which provides configuration interfaces for notebook extensions (nbextensions). The jupyter_nbextensions_configurator jupyter server extension provides graphical user interfaces for configuring which nbextensions are enabled (load automatically for every notebook). In addition, for nbextensions which include an appropriate yaml descriptor file (see below), the interface also renders their markdown readme files, and provides controls to configure the nbextensions' options. -
3
JupyterLab
JupyterLab computational environment
JupyterLab is the next-generation web-based user interface for Project Jupyter. Try it on Binder. JupyterLab follows the Jupyter Community Guides. JupyterLab enables you to work with documents and activities such as Jupyter notebooks, text editors, terminals, and custom components in a flexible, integrated, and extensible manner. You can arrange multiple documents and activities side by side in the work area using tabs and splitters. -
4
JupyterQuiz
An interactive Quiz generator for Jupyter notebooks and Jupyter Book
JupyterQuiz is a tool for displaying interactive self-assessment quizes in Jupyter notebooks and Jupyter Book. Important Note for JupyterLab 4 Users: Changes to the math rendering system in JupyterLab 4 have broken the LaTeX rendering in JupyterQuiz. There is not currently a simple solution, but I have opened an issue requesting that the necessary methods be made available. Math should still work in Jupyter Book. -
The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
-
5
Mito
AI-powered Jupyter spreadsheet that converts workflows into Python
Mito is an open source set of Jupyter extensions designed to speed up Python workflows and data analysis. It combines a spreadsheet-style interface with AI-assisted coding, allowing users to explore, clean, and transform data without switching tools. Mito includes a context-aware AI assistant that helps generate code, debug errors, and guide workflows directly inside Jupyter. -
6
GitHub Dark
Dark GitHub style
GitHub-Dark is a userstyle that transforms GitHub’s interface into a coherent dark theme, covering repositories, issues, pull requests, gists, and profile pages. Distributed as a CSS stylesheet intended for the Stylus browser extension, it applies a comprehensive palette, rebalances contrast, and refines syntax colors for code views to ensure readability in low-light settings. The project goes beyond simple inversion by thoughtfully adjusting backgrounds, borders, badges, and diff highlights... -
7
Roboquant
User-friendly and completely free algorithmic trading platform
Roboquant is an open-source algorithmic trading platform written in Kotlin. It is flexible, user-friendly and completely free to use. It is designed for anyone serious about algo-trading. So whether you are a beginning retail trader or an established trading firm, Roboquant can help you to quickly develop robust and fully automated trading strategies. But perhaps most important of all, it is blazingly fast. Roboquant is orders of magnitude faster than most other algo-trading platforms. With... -
8
Complete-Python-Bootcamp
The complete Python bootcamp guide
Complete-Python-Bootcamp is a structured learning repository designed to walk learners from the very basics of Python to more advanced, real-world topics. It is organized into multiple numbered folders that mirror a course syllabus, starting with Python basics and control flow, then moving into data structures, functions, and modules. As you progress, you encounter practical concerns such as file handling, exception handling, and working with classes and objects, which are essential for... -
9
Jupyter Notebooks extensions
A collection of various notebook extensions for Jupyter
The jupyter_contrib_nbextensions package contains a collection of community-contributed unofficial extensions that add functionality to the Jupyter notebook. These extensions are mostly written in Javascript and will be loaded locally in your browser. For Jupyter version 4 or 5, use the master branch of the repository. Most nbextensions have been updated to work with both Jupyter 4.x and 5.x, but occasionally things get missed, or the Jupyter API changes in a minor version update, so if anything doesn't work as you'd expect/hope, please do check the issues, or open a new one as necessary! ... -
Simplify Purchasing For Your BusinessSimplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
-
10
ipynb-quicklook
Generator for Jupyter/IPython notebooks without further dependencies
A Quick Look generator for Jupyter/IPython notebooks without further dependencies. This plugin has now been integrated into a native macOS app, Jupyter Notebook Viewer. This is the recommended way to install the QuickLook generator. A stand-alone Quick Look generator for Jupyter/IPython notebooks on macOS. Contents are rendered on-the-fly using nbviewer.js. -
11
Publish.jl
A universal document authoring package for Julia
A universal document authoring package for Julia. This is a package for Julia that provides a general framework for writing prose, technical documentation is its focus, though it is general enough to be applied to any kind of written document. -
12
jnotebook_reader
An awesome viewer to browse and render Jupyter Notebooks
...Generate a permanent link about your Jupyter Notebook. Download your Jupyter Notebook in one click. -
13
fastpages
Blogging platform, with enhanced support for Jupyter Notebooks
This site is built with fastpages, An easy to use blogging platform with extra features for Jupyter Notebooks. fastpages automates the process of creating blog posts via GitHub Actions, so you don’t have to fuss with conversion scripts. A full list of features can be found on GitHub. Create posts containing code, outputs of code (which can be interactive), formatted text, etc directly from Jupyter Notebooks; Notebook posts support features. -
14
IPyPublish
Workflow for creating and editing publication ready scientific reports
A program for creating and editing publication-ready scientific reports and presentations, from one or more Jupyter Notebooks. Dynamically (and reproducibly) explore data, run code, and output the results. Dynamically edit and visualize the basic components of the document (text, math, figures, tables, references, citations, etc). Have precise control over what elements are output to the final document and how they are layed out and typeset. -
15
Open in Colab
Open notebook in Colab from GitHub and Gist
Add-on that adds a button, «Open in Colab», to the header of IPython notebook in Gist and GitHub Open Jupyter Notebook in Colab from Gist and GitHub adding a button «Open in Colab» with this browser WebExtension -
16
TheoremJS
A Math library for computation in JavaScript
...It was designed to fit your need, whatever you are trying to do. With TheoremJS, you won't feel the need of running the code on a server, you can run it right on the browser, or on a NodeJS notebook (Jupyter like). Even though we loose performances with BigNumber, our algorithms are well-engineered and ensure decent performances on every device. You can use TheoremJS for every project, ranging from doing your math homework to launching a rocket into deep space. (Ok, maybe if you're planning to launch a rocket into space, you might want to use other tools in addition to TheoremJS). -
17
ipytracer
Algorithm Visualizer for IPython/Jupyter Notebook
Algorithm Visualizer for IPython/Jupyter Notebook. If you use the display(TracerObject) code from where you want to see, you can use it without any special modification. -
18
Jupyter notebook snippets menu
Adds a customizable menu item to Jupyter (IPython) notebooks
Adds a customizable menu item to Jupyter notebooks to insert snippets, boilerplate, and examples of code. This notebook extension adds a menu item (or multiple menu items, if desired) after the Help menu in Jupyter notebooks. This new menu contains little snippets of code that we all forget from time to time but don't want to google, or are just too lazy to type, or simply didn't know about.
- Previous
- You're on page 1
- Next
