Can you track machine usage and trigger maintenance with just a single signal? 🛠️ Discover how limited data can drive powerful insights in our latest blog post on smart maintenance with open-source streaming tools. 👉 Read now: https://t.co/IQZrow8MLi #IIoT #OpenSource #Analytics

🧠 LLMs inside your pipeline? Yes, really. The new Multi-Model Prompt Processor lets you plug OpenAI, Anthropic, or local LLMs into your pipelines — no code needed. Smart filters, summaries & more. 🚀 Preview: https://t.co/vKP5PIDXcY #IIoT #DataStreaming #Analytics #LLM

💡 Can’t find the right processing element for your use case? The JavaScript Evaluator Processor in Apache StreamPipes lets you transform, filter & enrich events with just a few lines of JS! See how it works in our blog post: 🔗 https://t.co/UO0oUb6VIY #IIoT #OpenSource

.@StreamPipes is a self-service (Industrial) #IoT toolbox to enable non-technical users to connect, analyze, and explore IoT data streams. StreamPipes 0.95 is now available for download: https://t.co/0xf0l2KFLt #opensource

Have you ever tried to connect to an S7 PLC or Modus device using StreamPipes? If not, we would like to share with you our freshly polished documentation pages for these two adapters. Please give them a try: https://t.co/3Vm3iU98jN https://t.co/1G7u6kdnMo #iiot #s7 #modbus

Did you know how smart pipeline elements are? 🤓 When building pipelines, @StreamPipes supports you by checking if they fit with the data stream. Don't know which pipeline element to choose? 🤔 Let StreamPipes suggest suitable pipeline elements for you. #IIoT #connectivity

Isn't that a pity? You can query your IIoT data from an OPC-UA server, but it has the wrong scale or unit of measurement... @StreamPipes is here to the rescue ⛑ Our transformation rules allow to transform data at connection time. Get your data in shape! #IIoT #datashaping #opcua

Are you afraid of superpowers? 🦹 Do you want to share your @StreamPipes instance with several people? Or do you just want to test how the world looks through the eyes of muggles? 🧙 You don't have to use the default admin user. Create as many users as you want! #IIoT #auth #ldap

🔍 Interested in learning how a Processing Element works in @StreamPipes? 📚 Explore our documentation directly in the pipeline editor and 📖 discover the meaning of configuration parameters, functionality, and more! Start exploring now! 🚀 #analytics #iiot #opensource

📺 The talk by Tim and Sven from the @StreamPipes community at #PyData2023 is now available on YouTube. Get valuable insights as they introduce the official #ApacheStreamPipes Python support. #Python #IIoT #Analytics #opensource https://t.co/IzZoLv0KyW

You don't have a live sensor data source yet? No problem! Get started right now with @StreamPipes! 📊 Upload an export (e.g., CSV files) and unleash the power of real-time analytics. 🚀 Seamlessly transform your data into insights. Start your journey today!💡#IIoT #DataAnalytics

Apache StreamPipes is a self-service #IoT toolbox that enables non-technical users to connect, analyze, and explore IoT data streams. @StreamPipes 0.92.0 includes technical enhancements, improved Python support, and bug fixes. Read the blog post: https://t.co/Gr5KXitBv5.

Have you ever wondered how to interact with Streampipes programmatically?🤓 It's easy to do via our REST API. The only thing you need is a StreamPipes API key 🔑. For more convenience, use our libraries - available in both Java and Python. Try them out now! #IIoT #Java #Python

🎉Exciting news! 🚀 Apache StreamPipes 0.92.0 is now available!🎉 📢 Discover the latest features, improvements, and bug fixes in our blog post: https://t.co/rj6twNXkGt Unlock the full potential of your industrial equipment with Apache StreamPipes 0.92.0! 💡 Get started today!

Have you tried our new Python support yet? If not, now is the best time to do so. You can get started with the command shown below 👇. All further steps can be found in our documentation: https://t.co/vGDb7tEmVd We would be happy to hear how you like it 🤩

#UpcomingFeature! We are adding an intuitive browsing interface for #OpcUa connectors to StreamPipes. It supports easy navigation through the whole tree, asynchronous loading and a preview of selected nodes. Will be integrated into version 0.93.0! #IIoT #OpenSource

Apache StreamPipes is a self-service industrial IoT toolbox that enables non-technical users to connect, analyze and explore #IoT data streams. #StreamPipes 0.91.0 includes the StreamPipes Python library and 90+ improvements and bug fixes. Download it at https://t.co/0xf0l2KFLt.

Data enthusiasts love to play with IIoT data. However, the technical challenges remain high @StreamPipes makes this easy by providing a self-service toolbox. In this talk, we introduce a new python module to work with IIoT data in a pythonic way https://t.co/TlHBQFbi8F #PyConDE

We've also activated GitHub community features now so that you can more easily create issues and participate in discussions! We're looking forward to your feedback! #IIoT See

The Apache @StreamPipes is pleased to announce release 0.90.0! This release contains more than 50 improvements and bug fixes - see the blog post for details: