A library to generate custom reports of pandas DataFrames
Project description
flamme
A library to generate custom reports of pandas DataFrames
Installation
We highly recommend installing
a virtual environment.
flamme
can be installed from pip using the following command:
pip install flamme
To make the package as slim as possible, only the minimal packages required to use flamme
are
installed.
To include all the dependencies, you can use the following command:
pip install flamme[all]
Please check the get started page to see how to
install only some specific dependencies or other alternatives to install the library.
The following is the corresponding flamme
versions and their dependencies.
flamme |
coola |
jinja2 |
markdown |
matplotlib |
numpy |
objectory |
pandas |
pyarrow |
scipy |
tqdm |
python |
---|---|---|---|---|---|---|---|---|---|---|---|
main |
>=0.2,<1.0 |
>=3.0,<4.0 |
>=3.4,<4.0 |
>=3.6,<4.0 |
>=1.23,<3.0 |
>=0.1,<1.0 |
>=1.4,<3.0 |
>=10.0,<17.0 |
>=1.10,<2.0 |
>=4.65,<5.0 |
>=3.9,<3.13 |
0.0.16 |
>=0.2,<1.0 |
>=3.0,<4.0 |
>=3.4,<4.0 |
>=3.6,<4.0 |
>=1.23,<3.0 |
>=0.1,<1.0 |
>=1.4,<3.0 |
>=10.0,<17.0 |
>=1.10,<2.0 |
>=4.65,<5.0 |
>=3.9,<3.13 |
0.0.15 |
>=0.2,<1.0 |
>=3.0,<4.0 |
>=3.4,<4.0 |
>=3.6,<4.0 |
>=1.23,<3.0 |
>=0.1,<1.0 |
>=1.4,<3.0 |
>=10.0,<17.0 |
>=1.10,<2.0 |
>=4.65,<5.0 |
>=3.9,<3.13 |
0.0.14 |
>=0.2,<1.0 |
>=3.0,<4.0 |
>=3.4,<4,0 |
>=3.6,<4.0 |
>=1.23,<2.0 |
>=0.1,<1.0 |
>=1.4,<3.0 |
>=10.0,<17.0 |
>=1.10,<2.0 |
>=4.65,<5.0 |
>=3.9,<3.13 |
0.0.13 |
>=0.2,<1.0 |
>=3.0,<3.2 |
>=3.4,<3.6 |
>=3.6,<4.0 |
>=1.23,<2.0 |
>=0.1,<0.2 |
>=1.4,<3.0 |
>=10.0,<15.0 |
>=1.10,<2.0 |
>=4.65,<5.0 |
>=3.9,<3.13 |
0.0.12 |
>=0.2,<0.3 |
>=3.0,<3.2 |
>=3.4,<3.6 |
>=3.6,<4.0 |
>=1.23,<2.0 |
>=0.1,<0.2 |
>=1.4,<3.0 |
>=10.0,<15.0 |
>=1.10,<2.0 |
>=4.65,<4.67 |
>=3.9,<3.13 |
0.0.11 |
>=0.2,<0.3 |
>=3.0,<3.2 |
>=3.4,<3.6 |
>=3.6,<4.0 |
>=1.23,<2.0 |
>=0.1,<0.2 |
>=1.4,<3.0 |
>=10.0,<15.0 |
>=1.10,<2.0 |
>=4.65,<4.67 |
>=3.9,<3.13 |
older versions
flamme |
coola |
jinja2 |
markdown |
matplotlib |
numpy |
objectory |
pandas |
pyarrow |
scipy |
tqdm |
python |
---|---|---|---|---|---|---|---|---|---|---|---|
0.0.10 |
>=0.2,<0.3 |
>=3.0,<3.2 |
>=3.4,<3.6 |
>=3.6,<4.0 |
>=1.23,<2.0 |
>=0.1,<0.2 |
>=1.3,<2.2 |
>=10.0,<15.0 |
>=1.10,<2.0 |
>=4.65,<4.67 |
>=3.9,<3.13 |
0.0.9 |
>=0.2,<0.3 |
>=3.0,<3.2 |
>=3.4,<3.6 |
>=3.6,<4.0 |
>=1.23,<2.0 |
>=0.1,<0.2 |
>=1.3,<2.2 |
>=10.0,<15.0 |
>=1.10,<2.0 |
>=4.65,<4.67 |
>=3.9,<3.13 |
0.0.8 |
>=0.2,<0.3 |
>=3.0,<3.2 |
>=3.4,<3.6 |
>=3.6,<4.0 |
>=1.23,<2.0 |
>=0.1,<0.2 |
>=1.3,<2.2 |
>=10.0,<15.0 |
>=4.65,<4.67 |
>=3.9,<3.12 |
Contributing
Please check the instructions in CONTRIBUTING.md.
Suggestions and Communication
Everyone is welcome to contribute to the community. If you have any questions or suggestions, you can submit Github Issues. We will reply to you as soon as possible. Thank you very much.
API stability
:warning: While flamme
is in development stage, no API is guaranteed to be stable from one
release to the next.
In fact, it is very likely that the API will change multiple times before a stable 1.0.0 release.
In practice, this means that upgrading flamme
to a new version will possibly break any code that
was using the old version of flamme
.
License
flamme
is licensed under BSD 3-Clause "New" or "Revised" license available in LICENSE
file.
Project details
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