Intake is a lightweight set of tools for loading and sharing data in data science projects. Intake helps you: * Load data from a variety of formats (see the current list of known plugins) into containers you already know, like Pandas dataframes, Python lists, NumPy arrays, and more. * Convert boilerplate data loading code into reusable Intake plugins. * Describe data sets in catalog files for easy reuse and sharing between projects and with others. * Share catalog information (and data sets) over the network with the Intake server.
Uploaded | Mon Mar 31 21:58:55 2025 |
md5 checksum | 26924c1d8038ca3d30e8ce076c43e0c7 |
arch | x86_64 |
build | py311h06a4308_0 |
depends | fsspec >=2023.0.0, networkx, packaging, platformdirs, python >=3.11,<3.12.0a0, pyyaml |
license | BSD-2-Clause |
license_family | BSD |
md5 | 26924c1d8038ca3d30e8ce076c43e0c7 |
name | intake |
platform | linux |
sha1 | 4c4631752a19fc93164e07a808f10ee38ced809a |
sha256 | 96bccff4b3ece87a7a801cd2fc03b6485600c360b717618d37bfe59eeeb947f8 |
size | 313485 |
subdir | linux-64 |
timestamp | 1726109628099 |
version | 2.0.7 |