Dev tools · alternatives · 2026
24 alternatives to Crossfilter
Fast multidimensional filtering for coordinated views
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Crossfilter launched in 2018; newer entries below may have overtaken it.
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Probabilistic data structures for processing continuous, unbounded streams. - tylertreat/BoomFilters
2015 · github.com · its alternatives →
- 3
Glazed▲867Turn Figma files into production-ready tracking in minutes
2024 · glazedanalytics.com · its alternatives →
- 4
We built Valohai LLM for tracking and comparing LLM evaluation results. Whether your evals live in notebooks and spreadsheets, or you're using an observability tool that wasn't built for comparison, this gives you a purpose-built eval comparison dashboard. Run evals with a Python library (pip install valohai-llm), results stream in, and you can compare up to 6 configurations side by side. Group by any dimension (model, category, difficulty) to see where each model excels. It doesn't do tracing or production observability, for now just eval tracking and comparison. What's cool is that you can…
2020 · valohai.com · its alternatives →
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📺(tv) Tidy Viewer is a cross-platform CLI csv pretty printer that uses column styling to maximize viewer enjoyment. - alexhallam/tv
2021 · github.com · its alternatives →
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This little project came about because I kept running into the same problem: cleanly differentiating sensor data before doing analysis. There are a ton of ways to solve this problem, I've always personally been a fan of using kalman filters for the job as its easy to get the double whammy of resampling/upsampling to a fixed consistent rate and also smoothing/outlier rejection. I wrote a little numpy only bayesian filtering/smoothing library recently (https://github.com/hugohadfield/bayesfilter/) so this felt like a fun and very useful first thing to…
2024 · github.com · its alternatives →
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Instagram-like image filters in pure JavaScript. Contribute to alexmic/filtrr development by creating an account on GitHub.
2012 · github.com · its alternatives →
- 8CA
2020 · cubeweaver.com · its alternatives →
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A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. - reiinakano/xcessiv
2017 · github.com · its alternatives →
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FilterGrade▲128Gorgeous photography filters for Photoshop
2015 · filtergrade.com · its alternatives →
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Hey all, I just released v2.0.0 of FilterQL, a query language and TypeScript library. This version adds support for Operations, which allow you to transform the data after filtering. If you think this would be useful in a project you're working on, give it a try and let me know what you think!
2025 · github.com · its alternatives →
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Two weeks ago I was on my babymoon in Corfu, Greece. While in transit, I was overseeing a GSoC intern submit an important feature to my array database library, Xarray-SQL. He added `to_dataset()`, which completed the roundtrip between thinking of array data in a tabular model simultaneously as gridded rasters (the premise of the project is that every Nd array can be mapped to 2d, where orthogonal dims of the Nd array are just primary keys of a tabular representation). We discussed in chat, now that this feature existed, what demos could we make that would prove this data model works? With…
Jul 2026 · github.com · its alternatives →
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Full-stack CRUD, simplified, with SSOT TypeScript entities - remult/remult
2022 · github.com · its alternatives →
- 15AI
2012 · goodfil.ms · its alternatives →
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DataMorf▲97Simplify real-time data manipulation and integration
2023 · datamorf.io · its alternatives →
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Hey HN! I got nerd-sniped by Bloom Filters this weekend, specifically for searching datasets with high "cardinality" (number of unique items). They're an _amazing_ data structure that, at a fixed size, tracks potential set membership. That means unlike normal b-tree indexes, they don't grow with the number of unique items in the dataset. This makes them great for "needle in a haystack" search (logs, document) as implementations like VictoriaMetrics and Bing's BitFunnel show. I've used them in the past, but they've never been center-stage in my projects. I wanted high cardinality keyword…
2025 · github.com · its alternatives →
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Search, Aggregate, & Plot CSVs with millions of rows
2017 · csvexplorer.com · its alternatives →
- 19FF
Hello HN, I wanted to share a library I've been working on called: fp-filters - A curated collection of 130+ common-use filter functions that are written (and can be used) in a functional programming style. Why I built this: I have noticed in several codebases the tendency to keep writing the same or similar filter functions over and over again. Often inlined, taxing readability. And realized that most of them do pretty much the same N things. Therefore they could be isolated, curated, and maintained separately. fp-filters provides 130+ composable, point-free filtering functions that make…
2025 · npmjs.com · its alternatives →
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Visions is a python library for working with user defined data type systems. Out of the box, it provides type inference and automated data cleaning of sequence data with backend specific implementations for pandas, spark, python, and numpy. We often use it as a first pass cleaning step when working with tabular data and to simplify the backend logic of both pandas-profiling[1] and our tabular data compression library compressio[2]. Because data types are user defined, we can build user customizable libraries based around types without adding code complexity. In the case of compressio that…
2022 · github.com · its alternatives →
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Data Analysis Made Simple, Fast, and Code-Free.
2025 · share.streamlit.io · its alternatives →
- 22FN
2015 · filter.news · its alternatives →
- 23RS
We’ve been working on a search problem that requires querying both text and numbers simultaneously. For example, in a dataset of clothing items with descriptions and prices, a search for “slim pants for $20” should prioritize skinny jeans for $25 over slim pants for $50 because they are semantically similar and the price is closer. I’ve found that standard embedding models struggle with numerical ordering, while text-to-SQL methods rely on exact matches and often filter out too many results. To solve this, we built a system designed specifically for structured datasets like CSVs or tables.…
2025 · demo.tryvoker.com · its alternatives →
- 24MA
2017 · lmcinnes.github.io · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →