Alternatives
Products that do what The Bridge does
Declarative dataflow for API integrations
- 1OD
Hey HN, I'm excited to share Orbital, a new approach for unifying APIs and Data sources! Rather than relying on glue code to bridge endpoints, Orbital leverages annotations in schemas & API specs to build the integration dynamically. The traditional method of crafting glue code often becomes repetitive and burdensome to maintain in the long run. With Orbital, developers embed tags to their existing API specs (OAP, Protobuf, etc), indicating where data can be sourced, and publish these specs to Orbital (which runs self-hosted). Consumers query these tags with our TaxiQL language, and Orbital…
2023 · github.com
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- 3RF
2021 · github.com
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- 7CD
Hello HN, It has been a while since I contributed to the web, so I decided to get back in shape and publish "something". This app is a POC of "what if diagrams were more dynamic". I'm a software engineer by trade, and with conventional tools, I often times struggle to explain flows of data in complex software systems. I got inspired by video games like The Incredible Machine and Factorio, as in some ways, software systems tend to become Rube Goldberg-esque machines ;) As a side quest, I also wanted to craft diagrams faster than text-based tools (ex: mermaid), as I am always forgetting their…
2024 · github.com
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- 10PO
Hi HN! We’re Asankhaya and Rohan and we are building Patchwork. Patchwork tackles development gruntwork—like reviews, docs, linting, and security fixes—through customizable, code-first 'patchflows' using LLMs and modular code management steps, all in Python. Here's a quick overview video: https://youtu.be/MLyn6B3bFMU From our time building DevSecOps tools, we experienced first-hand the frustrations our users faced as they built complex delivery pipelines. Almost a third of developer time is spent on code management tasks[1], yet backlogs remain. Patchwork lets you combine…
2024 · github.com
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A brief overview: 1. Workflows steps share a running context, with access to data they need require. 2. Steps in the workflow (builders) are chained together based on a topologically sorted built from the predefined input & output. 3. No servers spin up (like Conductor/Cadence) - the orchestrator is low level and meant for simplifying business logic. 4. Before/After listeners for each step. Would love to hear your thoughts and feedback!
2024 · github.com
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Yes, Python. I can already hear the screams from the rafters telling me how terrible of a choice Python is - but in my case, I valued modularity, extensibility, hackability over raw performance. (It was also a challenge to myself to see how far I can get without referencing existing implementations) Synchrotron processes nodes: simple Python classes with typed I/O and a render() method for processing. It can be as concise as 5 lines: class IncrementNode(Node): input: StreamInput output: StreamOutput def render(self, ctx): self.out.write(self.a.read(ctx) + 1) Nodes can then be spawned…
2025 · synchrotron.thatother.dev
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Turn codebases into interactive maps, graphs, and governance
Jul 2026 · dev-swat.com
- 23GC
Hey HN. Graph Compose is a hosted platform for orchestrating API workflows on Temporal. You define workflows as graphs of nodes (HTTP calls, AI agents, iterators, error boundaries) and everything runs as a durable Temporal workflow under the hood. Three ways to build the same graph: a React Flow visual builder, a typed TypeScript SDK (@graph-compose/client), and an AI assistant that turns plain English into a graph. Open-core: the execution foundations and integrations service are AGPL-3.0. The platform orchestrator, visual builder, and AI assistant are proprietary. Longer backstory on…
Apr 2026 · graphcompose.io
- 24PO
Hi HN, We’re Alex and Kalan, the creators of Pontoon (https://github.com/pontoon-data/Pontoon). Pontoon is an open-source data export platform that makes it really easy to create data syncs and send data to your enterprise customers. Check out our demo here: https://app.storylane.io/share/onova7c23ai6 or try it out with docker: https://pontoon-data.github.io/Pontoon/getting-started/quick... While at our prior roles as data engineers, we’ve both felt the pain of data APIs. We either had to spend weeks building out data pipelines…
2025 · github.com
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