Skip to main content

The data-centric workspace for AI & DS

Project description

CNext Logo

CNext

Open source workspace designed for DS & AI workflows

Cnext docs site docker youtube slack

Built with ❤︎ by contributors

Cnext

🔮 Overview

CNext is a workspace for DS and AI workflows. This workspace is meant to consolidate the most common tasks performed by data scientists and ML engineers. At a high level our workspace allows for:

  • Data exploration & transformation
  • Model development / exploration
  • Production code generation
  • Dashboard & App Generation
  • Experiment Management

📢 Features

  • Interactive Python coding envrionment with native Python output (think Jupyter replacement)
  • Smart code suggestion (categorical values and column names)
  • Interactive data exploration
  • Automative visualizations
  • Experiment and model management
  • Instant dashboarding

🚀 Requests: We're actively developing features based off user feedback, if you'd like to make any suggestions please feel free to hit us up on Slack.

📄 Installation via Pip

PLEASE NOTE: CNext requires npm >= 18.4 and Python >= 3.9.7 . Please ensure your environment meets the minimum requirements before beginning the installation.

Step 1: Make sure Nodejs is available in your computer (try npm --version)

Step 2: run command pip install -U cnext

Step 3: run command cnext

  • Input Enter path to the cnext sample project created in Step 1 and hit Enter (Example C:/Skywalker)

  • Web application will launch at : http://localhost:CLIENT_PORT or http://127.0.0.1:CLIENT_PORT/ (CLIENT_PORT default is 4000)

  • Stop application: Ctrl + c | Command + c

  • Note: Pay attention at CLIENT_PORT, and SERVER_PORT in .env file (you will have to change these ports if you already use them on your machine)

📄 Installation via Docker

cnext is also available via pre-built Docker images. To get started, you can simply run the following command:

docker run --rm -it -p 4000:4000 -p 5000:5000 -p 5011:5011 -p 5008:5008 -p 5005:5005 cycai/cnext

The web application will launch at: http://localhost:4000 or http://127.0.0.1:4000/

License

Copyright 2022 CycAI Inc. Distributed under MIT License. ​ Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: ​ The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. ​ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cnext-test-0.7.4.tar.gz (4.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cnext_test-0.7.4-py3-none-any.whl (4.0 MB view details)

Uploaded Python 3

File details

Details for the file cnext-test-0.7.4.tar.gz.

File metadata

  • Download URL: cnext-test-0.7.4.tar.gz
  • Upload date:
  • Size: 4.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.1 CPython/3.9.7 Windows/10

File hashes

Hashes for cnext-test-0.7.4.tar.gz
Algorithm Hash digest
SHA256 c47c49c6391b249f251ee0f38efb30b6b112828eab740648f5a504aa1c1b8d3a
MD5 59234d046f47609ef11cdd516d917c68
BLAKE2b-256 de517ba0a3ff1bb0530713e68e1316b1695f1c74d1de5cac812d82540e5ddd4f

See more details on using hashes here.

File details

Details for the file cnext_test-0.7.4-py3-none-any.whl.

File metadata

  • Download URL: cnext_test-0.7.4-py3-none-any.whl
  • Upload date:
  • Size: 4.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.1 CPython/3.9.7 Windows/10

File hashes

Hashes for cnext_test-0.7.4-py3-none-any.whl
Algorithm Hash digest
SHA256 e4367d95269ef2fb7391e5d3ec617b8ab1751ad402f5f5e00e18a8e71c604064
MD5 77383f949d680006609bd7ad11ad2aad
BLAKE2b-256 a1b5a60c822e7887dfde1cb1f3e11daa076af77c368036c0e840e579b4d5822b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page