A new language for COBOL workloads, built on Go
We’re building an open-source language layer on top of Go, designed specifically for COBOL-style workloads: Native decimal arithmetic (COBOL-accurate) Record structures and copybook compatibility Batch jobs and transactional orchestration as first-class constructs Sequential / indexed file I/O baked into the runtime Compiles through Go for speed, concurrency, and cloud deployability Think of it as Kotlin for COBOL, or “COBOL on Go” familiar to mainframe engineers, powerful for modern developers. Test Results so far: NIST COBOL-85 validation: 77.61% overall (305/393 tests) NC…
What it does
In the maker’s words, at launch
We’re building an open-source language layer on top of Go, designed specifically for COBOL-style workloads: Native decimal arithmetic (COBOL-accurate) Record structures and copybook compatibility Batch jobs and transactional orchestration as first-class constructs Sequential / indexed file I/O baked into the runtime Compiles through Go for speed, concurrency, and cloud deployability Think of it as Kotlin for COBOL, or “COBOL on Go” familiar to mainframe engineers, powerful for modern developers. Test Results so far: NIST COBOL-85 validation: 77.61% overall (305/393 tests) NC (Core COBOL): 97.89% (93/95) SM (Statements): 100% (13/13) RL (Relative I/O): 100% (26/26) IF (Intrinsic Functions): 100% (45/45) IC (CALL): 96% (24/25) Compliance tests: 100% passing Acceptance tests: 100% passing
Does the same job
all alternatives →- MMMicro-mitten – Research language with compile-time memory management2020 · github.com · ▲236
I've been working on implementing the compile-time approach to memory management described in this thesis (https://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-908.pdf) for some time now - some of the performance results look promising! (Although some less so...) I think it would be great to see this taken further and built into a more complete functional language.



- ADA distributed workflow engine written in Go2023 · github.com · ▲9
I'd like to share a project I've been working on for the past few months. It's a distributed workflow engine written entirely in Go. Some highlights: * Tasks are executed in a Docker container * Can run stand-alone or distributed * Highly extensible * Able to enforce limits (CPU/RAM) per task * Web UI Would love the get your feedback on it, and find out if this could be useful.
We Beat MLPerf: Modern Storage for KV Offload and LLM Training15h ago · theopenlake.com · ▲35High performance storage engine for efficient LLM inference and GPU Training.
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