Name | Version | Summary | date |
rsv |
1.5.1 |
A module for reading and writing an RSV document file. |
2024-12-18 22:41:36 |
airbite |
0.1.15 |
`airbite` brings the power of Airbyte to Python with an intuitive, user-friendly API. It builds upon the PyAirbyte project and adds additional features. |
2024-12-17 04:08:18 |
sling |
1.3.3 |
Slings data from a source to a target |
2024-12-16 12:18:53 |
sling-windows-amd64 |
1.3.3 |
Sling Binary for Windows |
2024-12-16 12:18:41 |
sling-mac-arm64 |
1.3.3 |
Sling Binary for Mac (ARM64) |
2024-12-16 12:17:35 |
sling-mac-amd64 |
1.3.3 |
Sling Binary for Mac (AMD64) |
2024-12-16 12:16:36 |
sling-linux-arm64 |
1.3.3 |
Sling Binary for Linux (ARM64) |
2024-12-16 12:15:43 |
sling-linux-amd64 |
1.3.3 |
Sling Binary for Linux (AMD64) |
2024-12-16 12:15:03 |
highla |
0.1.2 |
Run diagnostics on high Load Average |
2024-11-13 09:59:46 |
grizzly-loadtester-cli |
3.2.15 |
Command line interface for grizzly-loadtester |
2024-11-05 06:20:41 |
aspose-imaging-python-net |
24.11.0 |
Aspose.Imaging for Python via .NET is Another Python Imaging Library. It allows developers to easily create, load, manipulate, convert, compress images or photos using this API. |
2024-11-01 17:00:10 |
SQLDataModel |
1.1.0 |
SQLDataModel is a lightweight dataframe library designed for efficient data extraction, transformation, and loading (ETL) across various sources and destinations, providing an efficient alternative to common setups like pandas, numpy, and sqlalchemy while also providing additional features without the overhead of external dependencies. |
2024-10-22 16:18:29 |
grizzly-loadtester |
3.1.1 |
Traffic generator based on locust and behave |
2024-10-14 17:12:59 |
grizzly-loadtester-ls |
2.1.17 |
LSP server implementation for grizzly-loadtester load scenario development |
2024-10-14 06:54:04 |
graphicstatus |
1.1.0 |
GPUstatus is a fork of GPUtil ( https://github.com/anderskm/gputil ) |
2024-07-18 10:19:59 |
ez-etl |
1.1.6 |
ez-etl is an open-source Extract, Transform, load (ETL) library written in Python. Just configure a dict to read data from various data sources. Use code or built-in conversion algorithms to transform the data into the target data format, and write it to the target data source. |
2024-06-13 16:21:14 |
atoti-sql |
0.8.13 |
Plugin to load the results of SQL queries into Atoti tables |
2024-06-04 23:21:11 |
atoti-azure |
0.8.13 |
Plugin to load CSV and Parquet files from Azure Blob Storage into Atoti tables |
2024-06-04 23:20:50 |
atoti-gcp |
0.8.13 |
Plugin to load CSV and Parquet files from Google Cloud Storage into Atoti tables |
2024-06-04 23:20:50 |
atoti-aws |
0.8.13 |
Plugin to load CSV and Parquet files from AWS S3 into Atoti tables |
2024-06-04 23:20:50 |