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DataPortia VS Python Examples

Compare DataPortia VS Python Examples and see what are their differences

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DataPortia logo DataPortia

DataPortia is an industrial data acquisition software that connects to any OPC UA automation system. Collect, visualize, and analyze your process data in real time โ€” with on-premises AI powered by local LLMs.

Python Examples logo Python Examples

Python Examples covers Python Basics, String Operations, List Operations, Dictionaries, Files, Image Processing, Data Analytics and popular Python Modules.
  • DataPortia DataPortia customizable dashboard with gauge value chart bar and table widgets
    DataPortia customizable dashboard with gauge value chart bar and table widgets //
    2026-03-11
  • DataPortia DataPortia tabular report with aggregated industrial data and CSV PDF export options
    DataPortia tabular report with aggregated industrial data and CSV PDF export options //
    2026-03-11
  • DataPortia DataPortia interactive trend charts showing historical OPC UA process data visualization
    DataPortia interactive trend charts showing historical OPC UA process data visualization //
    2026-03-11
  • DataPortia DataPortia AI analysis wizard with anomaly detection and local LLM powered insights
    DataPortia AI analysis wizard with anomaly detection and local LLM powered insights //
    2026-03-11
  • DataPortia DataPortia OPC UA tag configuration with blocks categories and multilingual comments
    DataPortia OPC UA tag configuration with blocks categories and multilingual comments //
    2026-03-11
  • DataPortia DataPortia AI chat interface for natural language industrial data analysis
    DataPortia AI chat interface for natural language industrial data analysis //
    2026-03-11

DataPortia is an advanced industrial data acquisition and reporting software that connects to automation systems via OPC UA protocol. It stores time-series data in a PostgreSQL/TimescaleDB database and provides a web-based interface for real-time monitoring, trend analysis, and report generation.

Key Features: - Efficient data acquisition from automation systems via OPC UA protocol - Support for multiple simultaneous OPC UA connections with redundancy - Real-time dashboard with gauges, charts, bar charts, and tables - Interactive trend views with ECharts visualization and color customization - Comprehensive reporting with CSV and PDF export - Automated report scheduling (daily, weekly, monthly, custom) - AI-powered data analysis with local Ollama LLM (anomalies, forecasts, reports) - OPC UA Alarms & Conditions management with analytics and export - OPC UA history read from server historian - Calculation circuits (cumulative and non-cumulative formulas) - Tag transfer, copy and merge between connections - TimescaleDB time-series database with efficient compression and retention - Continuous aggregates (minute, hourly, daily, weekly) for fast queries - Automatic database backup and restore with scheduling - User management with role-based permissions (local or Azure AD) - Licensing: perpetual, trial, and floating licenses - Automatic HTTPS certificate management - API interface for third-party systems - Web interface for all devices (Finnish/English/Swedish/German)

System Requirements: - Windows 10/11 or Windows Server 2016+ (or Linux) - PostgreSQL 18 + TimescaleDB extension (included in setup) - Minimum 8 GB RAM (16 GB+ recommended) - Minimum 100 GB disk space (depending on data volume)

  • Python Examples Landing page
    Landing page //
    2023-08-27

Python Examples

This is a huge collection of Python Examples and Python Programs. Complete your Python Projects with the help of Python Code Examples that we present with lucid explanation.

In these Python Examples, we cover most of the regularly used Python Modules; Python Basics; Python String Operations, Array Operations, Dictionaries; Python File, Input & Output Operations; Python JSON Processing; Python GUI.

Python Examples โ€“ Module Wise

Python Basic Examples

  1. Python Basics
  2. Python Strings
  3. Python Lists
  4. Python Dictionary
  5. Python Files
  6. Python Logging
  7. Python SQLite
  8. Python OpenCV
  9. Python Pillow
  10. Python Pandas
  11. Python Numpy
  12. Python PyMongo

DataPortia

Website
atorcom.fi
$ Details
paid Free Trial โ‚ฌ4,000 / One-off (Price scales by number of OPC UA connections)
Platforms
Windows Linux
Release Date
2025 January
Startup details
Country
Finland
City
Karstula
Founder(s)
Antti Haaraniemi
Employees
1 - 9

Python Examples

Pricing URL
-
$ Details
free
Platforms
Windows Mac OSX Linux Python
Release Date
2019 July

DataPortia features and specs

  • OPC UA protocol
    Efficient data acquisition from automation systems via OPC UA protocol
  • Dashboard
    Real-time dashboard with gauges, charts, bar charts, and tables
  • Trends
    Interactive trend views with ECharts visualization and color customization
  • Reports
    Comprehensive reporting with CSV and PDF export
  • Automated reports
    Automated report scheduling (daily, weekly, monthly, custom)
  • AI analysis
    AI-powered data analysis with local Ollama LLM (anomalies, forecasts, reports)
  • Alarms analysis
    OPC UA Alarms & Conditions management with analytics and export
  • Web interface
    Web interface for all devices (Finnish/English/Swedish/German)
  • Multiplatform
    Supports linux and windows platforms
  • API Access
    API Interface for third-party systems

Python Examples features and specs

  • Comprehensive Examples
    Python Examples provides a wide range of examples across different Python libraries and functionalities, which can be very beneficial for learners and practitioners looking for quick solutions or learning new techniques.
  • Ease of Access
    The website is user-friendly, making it easy for visitors to navigate through various topics and find the examples they need without much hassle.
  • Free Resource
    Python Examples is a free resource, making it an accessible tool for anyone wanting to learn Python without incurring additional costs.
  • Updated Content
    The site frequently updates its content to reflect changes and new features in Python, ensuring that users have access to up-to-date information.

Possible disadvantages of Python Examples

  • Limited Depth
    While the site offers many examples, these examples may sometimes lack the depth and detailed explanations necessary for complete beginners to fully understand the concepts.
  • No Interactive Learning
    The site primarily provides code snippets and text-based explanations, lacking interactive elements or exercises that can enhance the learning experience.
  • Inconsistent Detail
    Some sections may not be as detailed or comprehensive as others, leading to an inconsistent learning experience where users may find some topics more difficult to grasp without additional resources.
  • Dependency on External Sources
    For a more thorough understanding or in-depth tutorials, users might still need to refer to external resources such as books or other educational platforms.

Analysis of DataPortia

Overall verdict

  • I don't have verified, up-to-date information about DataPortia at atorcom.fi, so I can't confirm its quality, reliability, or legitimacy. Before using or purchasing, it's recommended to research independently through reviews, company registration details, and user feedback.

Why this product is good

  • No verified public information or reviews were found for this specific product/service
  • Unable to confirm company legitimacy, security practices, or customer support quality
  • Cannot verify pricing, feature claims, or performance benchmarks without direct access to current data

Recommended for

  • Users should conduct independent due diligence, including checking domain registration history, business registration, and third-party reviews (e.g., Trustpilot, G2)
  • Consider reaching out to the company directly for references, case studies, or a trial before committing
  • Best suited for cautious buyers who verify data privacy policies and terms of service before use

Analysis of Python Examples

Overall verdict

  • Python Examples (pythonexamples.org) is a solid free resource for beginners and intermediate learners who want quick, practical code snippets to understand Python syntax and common programming tasks without wading through lengthy tutorials.

Why this product is good

  • Offers concise, ready-to-run code examples covering a wide range of Python topics and standard library functions
  • Free and accessible without requiring account registration
  • Organized by topic, making it easy to find examples for specific concepts like loops, strings, or file handling
  • Useful for quick reference when you need a syntax reminder or a working code snippet
  • Good supplementary resource alongside more in-depth tutorials or courses

Recommended for

  • Beginners learning Python syntax and basic programming concepts
  • Developers who need a quick code snippet or syntax reminder
  • Students working on coursework or assignments looking for example implementations
  • Self-taught programmers supplementing structured courses with practical examples
  • Anyone searching for straightforward, no-frills Python code samples

Category Popularity

0-100% (relative to DataPortia and Python Examples)
Reporting & Dashboard
100 100%
0% 0
Text Editors
0 0%
100% 100
Automation
100 100%
0% 0
Tutorials
0 0%
100% 100

Questions & Answers

As answered by people managing DataPortia and Python Examples.

Who are some of the biggest customers of your product?

DataPortia's answer

  • PCS-Engineering Oy (Finnish automation integrator and reseller partner)

DataPortia is an early-stage product currently used by industrial automation companies in Finland. Our reseller partner PCS-Engineering Oy deploys DataPortia for their industrial clients. We are actively expanding to energy plants, district heating networks, and manufacturing facilities across the Nordics and DACH regions.

What makes your product unique?

DataPortia's answer

DataPortia is the only industrial data acquisition software that combines on-premises AI analytics with OPC UA connectivity โ€” all without any cloud dependency. What makes it unique:

  • Local AI analysis powered by Ollama LLM โ€” your process data never leaves your network. Supports anomaly detection, forecasting, cost optimization, and natural language queries directly on your production data.

  • Extreme throughput: handles 2,000+ measurement points per second across 10+ simultaneous OPC UA connections, storing up to 172 million rows per day in TimescaleDB.

  • True on-premises architecture โ€” no subscriptions to cloud services, no data leaving the plant. Critical for industries with strict cybersecurity and data sovereignty requirements.

  • 4-language UI (Finnish, English, Swedish, German) built in โ€” not bolted on. Every screen, tooltip, help page, and AI prompt works natively in all four languages.

  • Runs on commodity hardware โ€” PostgreSQL + TimescaleDB instead of expensive proprietary historian databases. Compresses 126 billion rows into ~1.2 TB.

Why should a person choose your product over its competitors?

DataPortia's answer

Compared to alternatives like Ignition, WinCC, Wonderware, or AVEVA:

  • No cloud lock-in: Unlike cloud-based IoT platforms, DataPortia runs entirely on-premises. Your data stays in your network โ€” no recurring cloud fees, no vendor dependency.

  • Built-in AI analytics: Competitors require separate, expensive AI add-ons or cloud services. DataPortia includes local AI analysis (anomaly detection, forecasting, cost optimization) out of the box via Ollama.

  • Lower total cost: Uses open-source PostgreSQL/TimescaleDB instead of proprietary historian databases. No per-tag licensing โ€” connect unlimited measurement points.

  • OPC UA native: Connects to any OPC UA-compatible system (Siemens, ABB, Valmet, Beckhoff, Schneider, Honeywell, Rockwell) with built-in redundancy/failover.

  • Modern web interface: Responsive dashboards, interactive trends with drag-to-zoom, automated PDF/CSV reports โ€” accessible from any device without installing client software.

  • Free 30-day trial with full functionality, including AI features.

How would you describe the primary audience of your product?

DataPortia's answer

DataPortia serves industrial professionals who need reliable, real-time process data โ€” without cloud complexity:

  • Automation engineers managing OPC UA-connected control systems (PLC, SCADA, DCS)

  • Plant managers at energy plants, district heating networks, and manufacturing facilities who need dashboards and automated reports

  • Process engineers in power generation, water treatment, waste incineration, and process industry who analyze trends and optimize operations

  • IT/OT professionals responsible for on-premises data infrastructure and cybersecurity compliance

  • System integrators deploying monitoring solutions for industrial clients (Siemens PCS7, ABB, Valmet, Beckhoff environments)

The common thread: organizations that handle sensitive industrial data and need powerful analytics without sending data to the cloud.

What's the story behind your product?

DataPortia's answer

DataPortia was born from a real gap in the industrial automation market. Traditional SCADA historians and reporting tools are either prohibitively expensive, locked into proprietary ecosystems, or require cloud connectivity that many industrial facilities cannot accept for security reasons.

Built by Atorcom in Karstula, Finland, DataPortia was designed from the ground up to solve this: give industrial operators a modern, affordable, and secure way to collect, visualize, and analyze their automation data โ€” entirely on-premises.

The product evolved through direct experience with Finnish energy plants and process facilities, where the need for local AI analytics became clear. In 2025, DataPortia integrated Ollama-based local LLM analysis, making it one of the first industrial data tools to offer AI-powered anomaly detection, forecasting, and cost optimization without any cloud dependency.

Today, DataPortia connects to any OPC UA automation system and processes thousands of measurement points per second โ€” all running on standard PostgreSQL/TimescaleDB, proving that industrial-grade performance doesn't require enterprise-grade pricing.

Which are the primary technologies used for building your product?

DataPortia's answer

  • ASP.NET Core 9.0 (.NET 9) โ€” Backend framework, self-hosted Kestrel server

  • PostgreSQL 18 + TimescaleDB โ€” Time-series database with hypertables, compression, and continuous aggregates

  • OPC UA (OPCFoundation.NetStandard) โ€” Industrial automation connectivity protocol

  • Ollama โ€” Local large language model runtime for on-premises AI analysis

  • Entity Framework Core 9.0 + Dapper โ€” ORM and raw SQL queries

  • ECharts 5.6 โ€” Interactive chart visualization (dashboards, trends, analysis)

  • Microsoft.Identity.Web โ€” Optional Azure AD authentication

User comments

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Learn Python The Hard Way - One of the best guides to learn Python & coding in general

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