Skip to main content

Amphi Scheduler (JupyterLab extension + Python backend)

Project description

Amphi for Jupyterlab

jupyter-lab-amph-screenshot

Amphi for JupyterLab is a Micro ETL designed for ingesting, cleansing, and processing data from files and databases. Amphi addresses use cases such as data extraction from structured and unstructured data, data preparation and enrichment, and data processing for LLMs-based systems. Use Amphi within the Jupyterlab environment to design your data pipelines with a graphical user-interface and generate native Python code you can deploy anywhere.

📣 Beta release

Amphi for Jupyterlab is currently in beta. To start with Amphi, see below for install instructions.

As Amphi is in beta version, we welcome feedback and suggestions. Join the Slack community or reach out directly at hello@amphi.ai.

Requirements

  • JupyterLab >= 4.0

Install Jupyterlab + Amphi

If you want to launch Jupyterlab + Amphi, you can run the following commands. It is recommended to a virtual environment (venv or conda for example).

To install perform the following steps, with pip:

pip install --upgrade jupyterlab jupyterlab-amphi

For more installation instructions, visit the docs.

Install Amphi on an existing Jupyterlab instance

If you already have a Jupyterlab instance, just install the amphi package:

pip install --upgrade jupyterlab-amphi

Alternatively, you can search in the Extension Manager for Amphi.

For more information, see docs.

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

amphi_scheduler-0.9.0.tar.gz (2.6 MB view details)

Uploaded Source

Built Distribution

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

amphi_scheduler-0.9.0-py3-none-any.whl (3.9 MB view details)

Uploaded Python 3

File details

Details for the file amphi_scheduler-0.9.0.tar.gz.

File metadata

  • Download URL: amphi_scheduler-0.9.0.tar.gz
  • Upload date:
  • Size: 2.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.6

File hashes

Hashes for amphi_scheduler-0.9.0.tar.gz
Algorithm Hash digest
SHA256 95fdebabd4ececcc484bb5e8c5e42af207a5998731b4bec99690982a50e11400
MD5 3151618d825a41fd96eb1f22b3d8229a
BLAKE2b-256 7ed73a4643e4d002d402526c15163f583612154a916a9741a6d32a44e427d631

See more details on using hashes here.

File details

Details for the file amphi_scheduler-0.9.0-py3-none-any.whl.

File metadata

File hashes

Hashes for amphi_scheduler-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 63271b92b29840a832a490b6593dcad2ba86c1c9f115695f1609e38fe0d634b5
MD5 a708f56eb7f290533e089ab9568f2563
BLAKE2b-256 8a4bc10565b418f245fbec764ee2e26d208a692b921735d42b54cbefc6f06f89

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