Python client for Kawa - https://docs.kawa.ai
Project description
KYWY is the official KAWA Python client
This project allows to connect to a KAWA instance to perform various data analytics tasks:
- Uploading data to a data warehouse
- Performing computations on the data warehouse managed by Kawa
- Managing advanced administration settings for KAWA administrators
Please visit our website for additional information and contact: https://www.kawa.ai
Usage
The full documentation can be found here: https://github.com/kawa-analytics/kywy-documentation
Dev setup
Make sure to create a .env file at the root of the project with the following content:
# Connection to KAWA configuration
# (Used for the scripts in the cloud directory)
KAWA_URL=http://127.0.0.1:8080
KAWA_API_KEY=****
KAWA_WORKSPACE=1
# E2E test configuration
# (Used to run the E2E tests)
E2E_KAWA_URL=http://127.0.0.1:8080
E2E_KAWA_API_KEY_USER_1=****
E2E_KAWA_API_KEY_USER_2=***
E2E_KAWA_WORKSPACE=1
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file kywy-0.37.1.tar.gz.
File metadata
- Download URL: kywy-0.37.1.tar.gz
- Upload date:
- Size: 126.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e1bfddce94c1a8c41a4e7a71653a9382eb5e1efb753f83bcd749ca7067cc86ba
|
|
| MD5 |
e1288c1b221b224fa15dcd2a5575d6d2
|
|
| BLAKE2b-256 |
5a15836e855a036f7e27645fc309d6611f60370e188c576bca813cf8cc5bfe83
|
File details
Details for the file kywy-0.37.1-py3-none-any.whl.
File metadata
- Download URL: kywy-0.37.1-py3-none-any.whl
- Upload date:
- Size: 159.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fae9ab8f410e03b3744030d5ecb50b2d79d2bbac83172885a6cac386809db84b
|
|
| MD5 |
dc9ca630bf691008381f0914409afd07
|
|
| BLAKE2b-256 |
5a9cc0959fc61a9d24cdb5298edce2fd3fa563511226699b341d831b9826830f
|
