IoT energy management Kit
by melwinrufus26 
Updated: Jan 9, 2022
Solution Kit
Industrial activities have been one of the primary source of Global Warming as the unregulated energy consumption in industries lead to emission of greenhouse gases in atmosphere. Though the problem may appear easy to solve, identifying right time, volume and area of savings have always been challenging in saving energy.
Data Visualization
OLAP data visualization libraries can be used to drill down, roll up or slice and dice the data from OLAP databases.
CBoardby TuiQiao
2925 Version:CurrentAn easy to use, self-service open BI reporting and BI dashboard platform.
CBoardby TuiQiao
JavaScript 2925 Version:Current License: Permissive (Apache-2.0)
cubesviewerby jjmontesl
419 Version:v2.0.2Explore and visualize analytical datasets
cubesviewerby jjmontesl
JavaScript 419 Version:v2.0.2 License: Others (Non-SPDX)
incubator-supersetby apache
31662 Version:0.38.0Apache Superset is a Data Visualization and Data Exploration Platform
incubator-supersetby apache
Python 31662 Version:0.38.0 License: Permissive (Apache-2.0)
Data analysis
The data exploration helps in doing extensive analysis of different data types and in assisting to understand the patterns. Data visualisation helps in representing the insights graphically. Libraries in this section are used for analysis and visualisation of data.
pandasby pandas-dev
37439 Version:v2.0.0rc1Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python 37439 Version:v2.0.0rc1 License: Permissive (BSD-3-Clause)
numpyby numpy
23036 Version:v1.24.2The fundamental package for scientific computing with Python.
numpyby numpy
Python 23036 Version:v1.24.2 License: Permissive (BSD-3-Clause)
Data Labeling
Libraries in this section are used for annotating data for creating training data for machine learning.
VoTTby microsoft
4009 Version:v2.2.0Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
VoTTby microsoft
TypeScript 4009 Version:v2.2.0 License: Permissive (MIT)
universal-data-toolby UniversalDataTool
1763 Version:v0.14.26Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
universal-data-toolby UniversalDataTool
JavaScript 1763 Version:v0.14.26 License: Permissive (MIT)
cloud-annotationsby cloud-annotations
2653 Version:v1.3.2🐝 A fast, easy and collaborative open source image annotation tool for teams and individuals.
cloud-annotationsby cloud-annotations
TypeScript 2653 Version:v1.3.2 License: Permissive (MIT)
Data Manipulation
Listed libraries can be used for auto machine learning. AutoML will pick the best machine learning algorithm based on the dataset.
Auto-PyTorchby automl
1955 Version:v0.2.1Automatic architecture search and hyperparameter optimization for PyTorch
Auto-PyTorchby automl
Python 1955 Version:v0.2.1 License: Permissive (Apache-2.0)
auto-sklearnby automl
6802 Version:v0.15.0Automated Machine Learning with scikit-learn
auto-sklearnby automl
Python 6802 Version:v0.15.0 License: Permissive (BSD-3-Clause)
Deployment Information
This sections has the instructions to install the kit. For the Auto ML kit source, the deployment instructions are: 1. Clone the automl-starter from the source: https://github.com/kandikits/automl-starter 2. Install the required libraries by 'pip install -r requirements.txt' 3. Navigate to the 'automl-classification-pycaret.ipynb' and open and run each cellsPlease add specific deployment instructions for this kit e.g. Installation, Dependencies etc.