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 21:58:56 2025 |
md5 checksum | f2fb3e5e040253a70e730b9278db819e |
arch | x86_64 |
build | py312h06a4308_0 |
depends | fsspec >=2023.0.0, networkx, packaging, platformdirs, python >=3.12,<3.13.0a0, pyyaml |
license | BSD-2-Clause |
license_family | BSD |
md5 | f2fb3e5e040253a70e730b9278db819e |
name | intake |
platform | linux |
sha1 | 4ac2f03f12c8c0b1e45c39dd44902b577bccc46a |
sha256 | 3c245d0bb6d8403fe9bd38b22399cce37bb9e5872ac62a5f05ff402bebb1c54d |
size | 301887 |
subdir | linux-64 |
timestamp | 1726109676310 |
version | 2.0.7 |