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Blog Alternatives
Similar projects and alternatives to blog
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cozo
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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differential-datalog
DDlog is a programming language for incremental computation. It is well suited for writing programs that continuously update their output in response to input changes. A DDlog programmer does not write incremental algorithms; instead they specify the desired input-output mapping in a declarative manner.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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btree-typescript
A reasonably fast in-memory B+ tree with a powerful API based on the standard Map. Small minified. Well documented.
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souffle
Soufflé is a variant of Datalog for tool designers crafting analyses in Horn clauses. Soufflé synthesizes a native parallel C++ program from a logic specification.
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Hydra
Functional hybrid modelling (FHM) language for modelling and simulation of physical systems using implicitly formulated (undirected) Differential Algebraic Equations (DAEs) (by giorgidze)
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ballista
Discontinued Distributed compute platform implemented in Rust, and powered by Apache Arrow.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better blog alternative or higher similarity.
blog reviews and mentions
Posts with mentions or reviews of blog.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-07.
- Advent of Code 2023 in Recursive SQL
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Big Data Is Dead
This reminds me of a great blog post by Frank McSherry (Materialize, timely dataflow, etc) talking about how using the right tools on a laptop could beat out a bunch of these JVM distributed querying tools because... data locality basically.
https://github.com/frankmcsherry/blog/blob/master/posts/2015...
- Quokka and Spark/Databricks
- Rust for Data-Intensive Computation (2020)
- Cost in the Land of Databases (2017)
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Show HN: Cozo – new Graph DB with Datalog, embedded like SQLite, written in Rust
Oh, cool!
And yeah, licenses can be challenging and frustrating, especially the first time you release a major project.
I am really super excited by the idea of embedded Datalog in Rust. I run into a lot of situations where I need something that fits in that awkward gap between SQL and Prolog. I want more expressiveness, better composability, and better graph support than SQL. But I also want finite-sized results that I can materialize in bounded time.
There has been some very neat work with incrementally-updated Datalog in the Rust community. For example, I think Datafrog is really neat: https://github.com/frankmcsherry/blog/blob/master/posts/2018... But it's great to see more neat projects in this space, so thank you.
- [AskJS] JavaScript for data processing
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Differential Dataflow for Mere Mortals
They used to but Frank McSherry (author of differential dataflow) wrote them a specialized version without all the dataflow infrastructure [1]. It's part of the rust-lang nursery [2] now but hasn't been updated in a while, so I'm not sure what happened to it.
[1] https://github.com/frankmcsherry/blog/blob/master/posts/2018...
[2] https://github.com/rust-lang/datafrog
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Why isn't differential dataflow more popular?
Importantly, this doesn't just use memoization (it actually avoids having to spend memory on that), but rather uses operators (nodes in the dataflow graph) that directly work with `(time, data, delta)` tuples. The `time` is a general lattice, so fairly flexible (e.g. for expressing loop nesting/recursive computations, but also for handling multiple input sources with their own timestamps), and the `delta` type is between a (potentially commutative) semigroup (don't be confused, they use addition as the group operation) and an abelian group. E.g. collections that are iteratively refined in loops often need an abelian `delta` type, while monoids (semigroup + explicit zero element) allow for efficient append-only computations [0].
[0]: https://github.com/frankmcsherry/blog/blob/master/posts/2019...
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A note from our sponsor - SurveyJS
surveyjs.io | 25 Apr 2024
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