Best Vertical Market Software for Python

Tatsoft’s FrameworX is a complete, modern SCADA and IIoT platform that empowers engineers and developers to design, deploy, and scale high-performance industrial applications. Built on 100% managed .NET technology with no legacy constraints, FrameworX delivers real-time performance, data unification, and enterprise-grade reliability across all layers of operation—from the edge to the cloud. With real-time data modeling, historian, alarms and events, audit trails, reporting, advanced scripting (C#, VB.NET, JavaScript, Python), and 100+ native drivers for PLCs, DCSs, and protocols like OPC UA, MQTT, and SparkplugB, FrameworX connects every device, system, and data source into one seamless architecture. It includes an integrated MQTT broker/client, local UNS definition, and global UNS linking, making it the foundation for unified namespace architectures and modern IIoT ecosystems. Develop once and deploy anywhere — Windows, Linux, Docker, or the web — with zero client installs and true WebAssembly portability. Every module is included by design: Devices, Alarms, Historian, Reports, Security, Datasets, and DevOps tools. No hidden modules, no add-ons, no integration headaches. FrameworX is proven in 5,000+ global deployments, powering mission-critical operations across industries such as Oil & Gas, Steel, Transportation, and Life Sciences. Its architecture delivers 1M+ tags/second processing, 1,000+ concurrent clients, and startup times under 30 seconds. Combined with transparent licensing, unlimited scalability, and AI-ready integration tools, FrameworX provides a future-proof foundation for digital transformation.

Our Sports Game Odds API provides near-real-time data on sports and betting odds. It is the ultimate resource for developing sports apps, betting platforms or analytics models. Our odds API covers dozens of sports leagues and provides the data you need. You can access a variety odds data via multiple endpoints. Each is designed for specific queries, and each parameter can be customized to meet your needs. You can track live odds, historical data or bets. 55+ Leagues Across 25+ Sports Pre-match and Live Odds for Spreads, Over-Unders and Moneylines Futures odds, Player Props and Game Props Sub-Minute Updates for Real-Time Data Historical Data Availability Scores and Stats with 100% of Odds Results Data for All Odds Partial Game Odds Live In-Game Odds: Dynamic Betting Comprehensive player, team, league, and tournament data Major and Minor Sports receive extensive support

To help you realize your sporting dreams, we offer a cost-effective and comprehensive data API. The universal data format is well-structured and easy to use. We have the same accuracy as the official website with a latency of less than 10 seconds. In just a few minutes, you can get up and running with iSportsAPI. iSports API is a 16-year veteran in the sports data industry. iSports API is a tier-1 provider of sports data in Asia. iSports employs 100+ software engineers, and has a maintenance team to help with our services. Our data includes over 1600+ football leagues and cups, as well as 300+ basketball leagues and cups. Register and log in. The free trial starts when you submit the sport that interests you. Log in to create a ticket. Our engineer will respond within one business day. While accuracy is our goal, there are thousands of data available at any one time. Sometimes errors can be overlooked. We will correct any errors you find.

DWSIM is a versatile and free chemical process simulator that adheres to CAPE-OPEN standards, functioning seamlessly on multiple operating systems like Windows, Linux, macOS, Android, and iOS. Its user-friendly graphical interface allows for features that were once only available in paid software. The simulator excels in both steady-state and dynamic modeling by employing a parallel modular solver for enhanced efficiency. Additionally, DWSIM comes equipped with sophisticated property packages. Users can access an extensive array of unit operations, such as mixers, splitters, separators, pumps, compressors, expanders, heaters, coolers, valves, pipe segments, shortcut columns, heat exchangers, a variety of reactors, distillation and absorption columns, solids separators, and cake filters, alongside spreadsheets, Python scripts, and flowsheet unit operations. Furthermore, it includes an Excel Add-In for executing thermodynamic calculations directly within spreadsheets, as well as an automation API that facilitates the creation, modification, execution, and saving of flowsheets, making it an all-encompassing tool for chemical engineering. With its robust capabilities and user-centric design, DWSIM stands out as an invaluable resource for professionals in the field.

MasterDistiller is a comprehensive management system for distilleries, created on the open-source Odoo ERP framework, which merges specific industry modules with Odoo's fundamental business capabilities to encompass the entire process from “grain to glass.” It offers various applications designed for aspects such as production and distillation, allowing for effective tracking of costs, batch data, spirit origins, and recipe management; maturation and warehousing, which facilitate monitoring of liquids in casks and containers, along with gauging and provenance tracking; as well as vatting and bottling, focusing on the management of blending, dilution, loss calculations, and the production of finished goods. These specialized applications work in harmony with the broader Odoo business applications, including inventory management, CRM, sales orders, procurement, manufacturing, and accounting, to streamline operations, minimize errors, and provide real-time insights across various functions. MasterDistiller ensures complete traceability from the source materials to the end user, also accommodating necessary regulatory reporting requirements. Additionally, the integration of these systems promotes efficiency and enhances productivity throughout the distillation process.

Solcast is a cloud-based software designed to deliver precise, reliable historical, current, and predictive solar irradiance, weather, and photovoltaic (PV) power data tailored for renewable energy needs, using a versatile REST API along with developer tools. By monitoring real-time satellite cloud coverage and integrating it with sophisticated weather models, it provides solar irradiance predictions that range from five minutes to 14 days ahead with exceptional spatial and temporal accuracy, in addition to offering historical data spanning from 2007 to a week prior for performance assessment. The platform accommodates various PV power forecasting models, including Rooftop PV, Advanced PV, and Premium PV, which evaluate both actual and anticipated output for solar installations of any size. Its API delivers data in user-friendly JSON or CSV formats, making it easy to integrate with energy management software, analytical platforms, or tailored workflows. Additionally, developers can utilize native HTTP clients or software development kits (SDKs) such as Python and C#, complete with code samples, to seamlessly access and implement this data. This comprehensive approach positions Solcast as a crucial resource for optimizing solar energy operations.

Cegal Prizm is a flexible solution crafted to facilitate the seamless integration of data from various geo-applications, data sources, and platforms within a Python ecosystem. Its modular structure enables users to merge geo-data sources for sophisticated analysis, visualization, data science workflows, and machine learning applications. This innovation empowers users to tackle challenges that were previously unmanageable with older systems. By incorporating contemporary Python technologies, you can enhance, speed up, and improve standard workflows while creating and securely sharing tailored code, services, and technologies with a user community for their use. Furthermore, it connects effortlessly with the E&P software platform Petrel, OSDU, and various third-party applications and domains, allowing for the access and retrieval of energy data. Data can be transferred smoothly, whether locally or across hybrid and cloud environments, into a unified Python setting to derive greater insights and added value. Additionally, Prizm enables the enhancement of datasets with supplementary application metadata, thereby providing more depth and context to your analytical processes. The ability to customize and share these enriched datasets among users fosters collaboration and innovation within the community.