Alternatives
Products that do what DataVapte does
No *Good* Data Left Behind
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Hi everyone, We’re building an open-source identity and risk management platform and we’ve just released the first chunk of code, a fully customizable KYC flow & UI, to the public. We’ve chosen to use Svelte so our flows would be lightweight (it is ~50kb gzipped). Next up: - Adding forms and components for it to be used as a full onboarding flow. - Releasing an open-source case management dashboard, for manual approval of users. - Releasing an open-source rule engine, to help automate decisions. We’d love to hear your feedback, suggestions, or any question you’ve got. And if the rest of the…
2022 · github.com
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2022 · opendatadiscovery.org
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2017 · github.com
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Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data…
2022 · objectiv.io
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2021 · github.com
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Hi HN, I’ve been a data engineer for over a decade and have slowly been working on a way for 1 person to run a data platform (mostly to automate my job) When I was starting, I found the wide range of tools required to build data products overwhelming. Infrastructure setup, app deployment, pipeline development, creating metrics, dashboards and finally, integrating ML into product. No wonder companies have 100s of people working on this. So last year I quit the best job in the world to figure this out. I’d like to introduce Phidata: Building Blocks for Data Engineering It works like this: 1.…
2023 · docs.phidata.com
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Hey HN! We're excited to announce the launch of Tonic Textual, the secure data lakehouse for LLMs. Simply stated, Tonic Textual allows you to build generative AI systems on your own unstructured data without having to spend time extracting and standardizing your data. In minutes you can build automated, scalable unstructured data pipelines that extract, centralize, standardize, and enrich data from your documents into an AI-optimized format ready for embedding, fine-tuning, and ingesting into a vector database. While in-flight, we also scan for sensitive information and protect it via…
2024 · tonic.ai
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Hey HN, I’m building Databite, an open-source set of tools to help developers build integrations faster and with ease. If you’ve ever built a SaaS product or an AI agent that needed to update a CRM record, sync data between apps, or trigger a workflow in a third-party tool, you’ve probably spent way too much time writing glue code. Databite is here to be that glue. With Databite you can: - Access prebuilt connectors using the databite/connectors package. - Create custom connectors to services of your choice like Slack, Notion, HubSpot, Google Sheets, etc. using our databite/build…
Oct 2025 · github.com
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I'm Anand, co-founder and CTO of Altimate AI. My co-founder Pradnesh and I are open-sourcing Altimate Code. AMA. Why we built this: Pradnesh and I have been building tooling for data engineers for three years: dbt Power User and Datamates vscode extensions with combined 750k+ installs, running against real Fortune 500 data estates. The pattern we kept seeing: general-purpose agents can write SQL, but they have no model of what the SQL does. No lineage. No schema context. No understanding of what's in a dbt manifest. That's not a prompt problem; it's a missing tool layer problem. The numbers…
Mar 2026 · github.com
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