Alternatives
Products that do what DedupFuzzy AI does
AI fuzzy matching & deduplication — no code
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2018 · github.com
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Jul 2026 · github.com
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I made an app to fuzzy-deduplicate my Google Sheets and CRM records - No manual configuration required - Works out-of-the-box on most data types (ex. people, companies, product catalog) Implementation details: - Embeds records using an E5-family model - Performs similarity search using DuckDB w/ vector similarity extension - Does last-mile comparison and merges duplicates using Claude Demo video: https://youtu.be/7mZ0kdwXBwM Github repo (Apache 2.0 licensed): https://github.com/SnowPilotOrg/dedupe_it Background story: My company has a table for…
2024 · app.dedupe.it
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Hi! We are excited to announce the second release of Desbordante — an open-source, high-performance data profiler that is capable of discovering and validating many different patterns in data using various algorithms. Unlike existing data profilers, Desbordante focuses on discovering complex patterns in data, which are notoriously hard to extract. Since its inception in 2019, it has become the fastest open-source tool for these tasks. It also offers an array of patterns which have no alternative implementations. With this release, Desbordante now supports 17 types of patterns, such as:…
2024 · github.com
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Hey HN! We (Stephan and Thomas) recently open-sourced Semble. We kept running into the same problem while using Claude Code on large codebases: when the agent can't find something directly, it falls back to grep, reading full files or launching subagents. This uses a lot of tokens, and often still misses the relevant code. There are existing tools for this, but they were either too slow to index on demand, needed API keys, or had poor retrieval quality. Semble is our solution for this. It combines static Model2Vec embeddings (using our latest static model: potion-code-16M) with BM25, fused…
May 2026 · github.com
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We’ve just open-sourced SemHash, a lightweight package for semantic text deduplication. It lets you effortlessly clean up your datasets and avoid pitfalls caused by duplicate samples in semantic search, RAG, and machine learning. Main Features: - Fast and hardware friendly: Deduplicate datasets with millions of records in minutes, on a CPU. - Flexible: Works on single or multiple datasets (e.g., train/test deduplication), and multi-column data (e.g., Question-Answering datasets). - Lightweight: Minimal dependencies (largest is NumPy). - Explainable: Easily inspect duplicates and what…
2025 · github.com
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Hey HN, we're developing Burr (github.com/dagworks-inc/burr), an open-source python framework that makes it easier to build and debug GenAI applications. Burr is a lightweight library that can integrate with your favorite tools and comes with a debugging UI. If you prefer a video introduction, you can watch me build a chatbot here: https://www.youtube.com/watch?v=rEZ4oDN0GdU. Common friction points we’ve seen with GenAI applications include logically modeling application flow, debugging and recreating error cases, and curating data for testing/evaluation (see…
2024 · github.com
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2025 · github.com
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Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…
2025 · infinitcode.ai
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I created an add-on for Google Sheets called Flookup, and it comes both as a free version and a VERY AFFORDABLE paid version. At its core, Flookup is a fuzzy matching add-on that helps you manage text that is less than a 100% match. Beyond that it can be used to: 1. Search for and match data regardless of whether it contains typos. 2. Highlight and delete duplicates duplicates even if the data has mismatched text. 3. Calculate the percentage similarity between strings. 4. Extract unique values from any column based on percentage similarity. 5. Sum and find the average of numbers based on…
2020
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Hey everyone, I have updated my fuzzy search library for the frontend. It now supports substring and prefix search, on top of fuzzy matching. It's fast, accurate, multilingual and has zero dependencies. GitHub: https://github.com/m31coding/fuzzy-search Live demo: https://www.m31coding.com/fuzzy-search-demo.html I would love to hear your feedback and any suggestions you may have for improving the library. Happy coding!
Oct 2025 · github.com
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We’ve just open-sourced SemHash, a lightweight package for semantic text deduplication. It lets you effortlessly clean up your datasets and avoid pitfalls caused by duplicate samples in semantic search, RAG, and machine learning. Main Features: - Fast and hardware friendly: Deduplicate datasets with millions of records in minutes, on a CPU. - Flexible: Works on single or multiple datasets (e.g., train/test deduplication), and multi-column data (e.g., Question-Answering datasets). - Lightweight: Minimal dependencies (largest is NumPy). - Explainable: Easily inspect duplicates and what…
2025 · github.com
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We’ve just released SemHash v0.3.0, a major rework of our open-source text pre-processing library. We’ve added two new functionalities: outlier filtering & representative sampling. The core API has been reworked to make sure all of these features can be used together in an intuitive way. Our new features use the existing approximate nearest neighbors index that we already used for semantic deduplication, so they can be ran very quickly after building the index on your dataset. The core package can now be used for: - Semantic Deduplication: Remove semantic duplicates from your dataset. This…
2025 · github.com
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