+
+

Related Products

  • Pensero
    2 Ratings
    Visit Website
  • Planview Software Product Delivery
    2 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • STACK
    1,426 Ratings
    Visit Website
  • Retool
    584 Ratings
    Visit Website
  • Float
    3,716 Ratings
    Visit Website
  • Ganttic
    242 Ratings
    Visit Website
  • Interfacing Integrated Management System (IMS)
    66 Ratings
    Visit Website
  • ShipHero
    916 Ratings
    Visit Website
  • JetBrains Junie
    12 Ratings
    Visit Website

About

The first step to improving a process is to understand it. Bloomfilter uses process mining to analyze time-series data from your entire stack and build a model of your team's unique software development process – and then helps you optimize it. Visualize cost breakdown between build, run, and maintain. While software development is both an art and a science, data-driven teams ship more often and innovate faster. Translate sprints and points into dollars and cents. Understand where your process breaks down, and get best practices on how to improve it. Increase predictability when scoping work and estimating when new features will ship. Get objective analysis on your development process in a language everyone understands.

About

MPCPy is a Python package that facilitates the testing and implementation of occupant-integrated model predictive control (MPC) for building systems. The package focuses on the use of data-driven, simplified physical or statistical models to predict building performance and optimize control. Four main modules contain object classes to import data, interact with real or emulated systems, estimate and validate data-driven models, and optimize control input. While MPCPy provides an integration platform, it relies on free, open-source, third-party software packages for model implementation, simulators, parameter estimation algorithms, and optimization solvers. This includes Python packages for scripting and data manipulation as well as other more comprehensive software packages for specific purposes. In particular, modeling and optimization for physical systems currently rely on the Modelica language specification.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Businesses looking for a powerful Process Mining solution

Audience

Plants and companies requiring an open-source platform to improve their Model Predictive Control (MPC) in their buildings

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Bloomfilter
Founded: 2022
United States
www.thebloomfilter.com

Company Information

MPCPy
United States
github.com/lbl-srg/MPCPy

Alternatives

Alternatives

Cybernetica CENIT

Cybernetica CENIT

Cybernetica
COLUMBO

COLUMBO

PiControl Solutions
ALTO

ALTO

Brilliant Consulting
INCA MPC

INCA MPC

Inca Tools
AVEVA APC

AVEVA APC

AVEVA

Categories

Categories

Integrations

Python
Ubuntu
Velt

Integrations

Python
Ubuntu
Velt
Claim Bloomfilter and update features and information
Claim Bloomfilter and update features and information
Claim MPCPy and update features and information
Claim MPCPy and update features and information