44 Components & Libraries
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After cloning/downloading the repository, install Fit.ly into your environment: Copy your client key and secret into your config.ini file. Some charts will not work unless these data sources are prov…
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Under the 'comprehensive' aspect, the project will explore and test all plausible prediction methods, ensuring an evolving scope and prioritization based on the utility of the results. This creates a…
Sample application that runs a Dash app mounted inside a FastAPI webserver.
DashTools is an open-source command line toolchain for Plotly Dash that makes creating and deploying dash projects to Heroku intuitive and easy. Install with: Run the dashboard with: Create projects …
The contents of this repository is an analysis of using machine learning models to predict depression in people using health care data. This analysis is detailed in hopes of making the work accessibl…
A python script that will parse the nginx access.log and send geolocation metrics and log metrics to InfluxDB The InfluxDB database will be created automatically with the name you choose. If you sepa…
Core capabilities are: Key features are: ZhangZhou J*, He Can*, Sun Jianhao, Zhao Jianming, Lyu Yang, Wang Shengxin, Zhao Wenyu, Li Anzhou, Ji Xiaohui. Geochemistry π: Automated machine learning pyth…
Ballcone is a fast and lightweight server-side Web analytics solution. It requires no JavaScript on your website. For better performance, Ballcone inserts data in batches, committing them to DuckDB e…
Python Source Code What will you find in this repository: Contact:
Email is a challenge to visualize. The Newman tool and accompanying analytics contain a processing component, email analytics, visualization and discovery tools. Newman can quickly analyze and explor…
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See the usage example below for the Python API around these features. Enjoy.
This script allows you to easily import various AWS log types into an Elasticsearch cluster running locally on your computer in a docker container. The script configures everything that is needed in …
The general scheme is to acquire audio data from a sound card within a Docker container via ALSA or Jack and FFmpeg, and then stream the audio data with minimal latency to cloud-based storage (as of …
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