Orchesty
Dev-first integration platform for heavy data flows.
Orchesty launched on June 1, 2026 with 2 votes.
What it does
Orchesty is a developer-first integration engine for high-volume data. Build robust pipelines in code and deploy your way. Use as a service or run self-hosted. Enjoy source-available transparency with zero vendor lock-in.
Build async integrations with AI on an open platform. Open-source connectors catalogue, managed cloud or self-host, orchestrate data flows across your stack.
Stream-native orchestration built for developers. Scale from single events to millions. Built for modern integration workloads: reliable, observable, and scalable from single system syncs to AI-driven pipelines. Build and orchestrate powerful workflows that connect your systems, APIs, and data processes with full control and visibility. Process from a single event to millions of messages a day on the same pipeline. No timeouts, no lost records. Connect agents to real enterprise systems through MCP without handing them credentials or direct infrastructure access. Orchesty authorizes what each agent can use, executes deterministic processes, handles data beyond the model's limits, and keeps…from orchesty.io
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- ODOrchest – Data Science Pipelines2020 · ▲64
Hello Hacker News! We are Rick & Yannick from Orchest (https://www.orchest.io - https://github.com/orchest/orchest). We're building a visual pipeline tool for data scientists. The tool can be considered to be high-code because you write your own Python/R notebooks and scripts, but we manage the underlying infrastructure to make it 'just work™'. You can think of it as a simplified version of Kubeflow. We created Orchest to free data scientists from the tedious engineering related tasks of their job. Similar to how companies like Netflix, Uber and Booking.com…
ApyHub2023 · apyhub.com · ▲604Hi all, I am Samuel, founder of ApyHub. ApyHub is a Developer API “utility belt”, providing developers with powerful APIs that provide standard data and essential functionalities for every software application. @nikolas and I have spent the last decade working with engineering teams to build and operate SaaS products. What we observed was that our teams spent a lot of energy building small units of functionality that were needed to provide more complex business capabilities. Take for example the HTML to PDF conversion (which in turn was used to generate pdf invoices) functionality, or simple…
Quilt – manage data like code2017 · quiltdata.com · ▲367Transform data chaos into scientific clarity with Quilt, the AI-powered platform that accelerates research and ensures compliance for life sciences teams.
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