A simple dashboard app to interactively fit ARIMA models.
Project description
Time Series App
A simple web app to learn a little about Time Series analysis and forecasting.
You can create a sample, or upload a file, and interactively fit a time series model on it. To give it a try, click here...
The dashboard is built with Dash, and the time series models are fitted using Statsmodels.
Installation
The easiest way to install the app is from PyPI, using:
pip install ts-app
You could also install it directly from the GitHub repository using:
pip install https://github.com/tim-abwao/time-series-app/archive/main.tar.gz
Basic Usage
You can use the command ts_app to launch the app.
ts_app
You can also start the app from an interactive session:
>>> import ts_app
>>> ts_app.run_app()
Afterwards, press CTRL + C to stop it.
Project details
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 ts_app-0.1.0.tar.gz.
File metadata
- Download URL: ts_app-0.1.0.tar.gz
- Upload date:
- Size: 101.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e9120e3c90745222a01d1b3818b963d9e14491e652e3011e813953909275327c
|
|
| MD5 |
7afd4e09f286b994757bbb1b516c0ced
|
|
| BLAKE2b-256 |
42840af94e7fb5af4b4aabcff5c3583d29561fb0bdb4d2c9827713e55bedee0a
|
File details
Details for the file ts_app-0.1.0-py3-none-any.whl.
File metadata
- Download URL: ts_app-0.1.0-py3-none-any.whl
- Upload date:
- Size: 102.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fdd49593ff1626aeeb06d38866d548bacf74a4b230a6c5a7afd7bfc2f6ef6b1a
|
|
| MD5 |
85f6f7e20a0d3b3cd59ab3fea657598d
|
|
| BLAKE2b-256 |
20d686493c9e47479425f0bce4f8eaf305fc9a060ea25fd2ba86979339de2bd2
|