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. Learn more →
Clingo Alternatives
Similar projects and alternatives to clingo
-
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.
-
scala
Scala 2 compiler and standard library. Bugs at https://github.com/scala/bug; Scala 3 at https://github.com/scala/scala3
-
automerge
A JSON-like data structure (a CRDT) that can be modified concurrently by different users, and merged again automatically.
-
cozo
A transactional, relational-graph-vector database that uses Datalog for query. The hippocampus for AI!
-
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.
-
peritext
A CRDT for asynchronous rich-text collaboration, where authors can work independently and then merge their changes.
-
codeql
CodeQL: the libraries and queries that power security researchers around the world, as well as code scanning in GitHub Advanced Security
-
ezno
A JavaScript compiler and TypeScript checker written in Rust with a focus on static analysis and runtime performance
-
highfleet-ship-opt
A c/c++ module and python extensions for automatic optimization of Highfleet ship modules. Try it live at https://hfopt.jodavaho.io
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
clingo reviews and mentions
-
Learn Datalog Today
One of the easiest to get started on Datalog in my opinion is really clingo https://potassco.org/clingo/ , which can be pip installed and has python bindings. Answer Set Programming goes beyond datalog, but it holds datalog semantics as a sublanguage. It is unfortunate this is not well advertised.
```
-
Modern SAT solvers: fast, neat and underused (2018)
Love this article and the push to build awareness of what modern SAT solvers can do.
The thing it misses, though, is that there are higher level abstractions that are far more accessible than SAT. If I were teaching a course on this, I would start with either Answer Set Programming or Satisfiability Modulo Theories (SMT). The most widely used solvers for those are clingo [0] and Z3 [1]:
With ASP, you write in a much clearer Prolog-like syntax that does not require nearly as much encoding effort as your typical SAT problem. Z3 is similar -- you can code up problems in a simple Python API, or write them in the smtlib language.
Both of these make it easy to add various types of optimization, constraints, etc. to your problem, and they're much better as modeling languages than straight SAT. Underneath, they have solvers that leverage all the modern CDCL tricks.
We wrote up a paper [2] on how to formulate a modern dependency solver in ASP; it's helped tremendously for adding new types of features like options, variants, and complex compiler/arch dependencies to Spack [3]. You could not get good solutions to some of these problems without a capable and expressive solver.
[0] https://github.com/potassco/clingo
-
Ask HN: What is new in Algorithms / Data Structures these days?
Answer Set Programming is an incredibly powerful tool to declaratively solve combinatorial problems. Clingo is one of the best open source implementations in my opinion: https://github.com/potassco/clingo
-
A note from our sponsor - InfluxDB
www.influxdata.com | 29 Apr 2024
Stats
potassco/clingo is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of clingo is C++.
Sponsored