MCM Alchimia Description
The newest version of the free software MCM Alchimia has been designed to facilitate the estimation of measurement uncertainty and calibrations using the Monte Carlo method in accordance with JCGM 101. In this update, a comprehensive GUM framework uncertainty budget has been introduced, and similar to the previous version, it maintains support for correlated quantities and regression curves. Additionally, it boasts a speed enhancement that rivals well-known calculation and statistics programs. Users can perform simulations using direct, inverse, and total least squares methods, offering versatility in analysis. Furthermore, there is a custom application language available through an external module, allowing for tailored functionality. The output report provides a thorough statistical analysis of the simulations conducted, ensuring users have detailed insights into their results. This release significantly enhances the usability and efficiency of the application for professionals in the field.
MCM Alchimia Alternatives
High-Performance Data Engineering. Total Sovereignty.
TIMi delivers the power of a complete cloud data stack—on-premises, fully sovereign, and ridiculously fast.
We reject artificial vendor lock-in and hidden costs. Instead, we offer absolute peace of mind through engineering excellence, giving your team the freedom to experiment, innovate, and solve complex AI, analytics, and automation challenges in record time.
Why Top Enterprises Choose TIMi?
Enterprise Integration & *No-Code* ETL/Data preparation: Automate complex workflows and seamlessly link your entire stack: SAP, Salesforce, SharePoint, S3, Azure Storage, PowerBI, Tableau, etc.
Unmatched Infrastructure Efficiency: Our competitors such as Databricks, Dataiku, and MS Fabric all rely on Spark—and that makes them inherently inefficient since a single €2k TIMi server outperforms a 267-node Spark cluster. TIMi process billions of rows in seconds and manage petabyte-scale data lakes at a fraction of the cost.
Proven AI Leadership: Harness pioneering machine learning from the creators of the first Auto-ML engine (est. 2007).
Whether deployed on-premises or via our EU-Hosted Sovereign Cloud, TIMi empowers leaders in Banking, Telecoms, Manufacturing, Retail, Defense and Government.
Learn more
SPEC Innovations’ leading model-based systems engineering solution is designed to help your team minimize time-to-market, reduce costs, and mitigate risks, even with the most complex systems. Available as both a cloud-based and on-premise application, it offers an intuitive graphical user interface accessible through any modern web browser.
Innoslate's comprehensive lifecycle capabilities include:
• Requirements Management
• Document Management
• System Modeling
• Discrete Event Simulation
• Monte Carlo Simulation
• DoDAF Models and Views
• Database Management
• Test Management with detailed reports, status updates, results, and more
• Real-Time Collaboration
And much more.
Learn more
Tempo Portfolio Manager
Tempo Portfolio Manager (formerly LiquidPlanner) is a dynamic project scheduling and resource management platform that uses predictive AI to forecast when work will realistically be completed. Its scheduling engine runs Monte Carlo simulations using team bandwidth, task priorities, and ranged estimates to deliver completion forecasts with up to 90% confidence. Automatic resource leveling adjusts schedules instantly when priorities shift or team availability changes, highlighting bottlenecks and preventing burnout.
Teams plan, predict, and optimize complex portfolios across the entire organization from a single workspace, replacing static plans that are out of date the moment they are saved. By modeling uncertainty directly with ranged estimates – best-case and worst-case bounds rather than a single guess – Portfolio Manager gives leaders a realistic view of delivery dates and resource demand instead of false precision, surfacing bottlenecks before they derail delivery and protecting teams from overcommitment.
Portfolio Manager is part of Tempo's broader Strategic Portfolio Management portfolio, a connected set of tools spanning planning, resourcing, cost, and reporting for delivery-focused organizations. Teams can pair predictive scheduling with Tempo's time, cost, and portfolio tools to connect realistic forecasts with the work that delivers them.
Learn more
SPC-PC IV Explorer
SPC-PC IV Explorer, a leading Statistical Process Control Software (SPC) package, is used for quality assurance, capability evaluations, streamlined process data management, and reporting.
-Manage process information with cascading folders that are grouped by customer, department and product.
-Password-protected concurrent use licensing controls access to features
-Process Monitor charts give a dashboard view of KPI
-Quickly analyze keyboard and data imported from Excel or other ODBC sources like ERP, SAP, LIMS, or LIMS.
-Data entry via electronic gaging is supported in the optional Work Set view
-Customized reports can be exported to Word with charts, data, or any other information as required
-Show stratification patterns by using symbol shape/color or filter data using traceability field.
Optional Web SPC interface to report, data entry and process monitoring throughout your supply chain without the need for a local installation
-Optional Calibration Management or separately as QA–Calibrate
Learn more
Pricing
Free Version:
Yes
Integrations
No Integrations at this time
Company Details
Company:
Alchimia Software
Headquarters:
Uruguay
Website:
www.mcm-alchimia.com
Media
Recommended Products
$300 Free Credits to Build on Google Cloud
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Not Offered
MCM Alchimia Features and Options
Statistical Analysis Software
Compliance Tracking
Multivariate Analysis
Regression Analysis
Statistical Simulation
MCM Alchimia User Reviews
Write a Review- Previous
- Next
