point-in-time

Backup / restore solution for PostgreSQL

A command-line tool for distributed backup and restoration of the TiDB cluster data

AI 原生 A 股投研中枢｜百万级本地数据 × 量化实验 × 多模型研究 × 可追溯决策。Research deeper. Decide with evidence. · Local-first · Hermes / MCP.

Universal, evidence-native double-entry accounting system of record in Rust on FrankenGraphDB: bitemporal, append-only with first-class restatements, exact money algebra, counterfactual branches, in-database forensic analytics, outsider-verifiable proofs, and an agent-first CLI/MCP surface for CPAs, regulators, litigators, and investigators.

LawVM compiles human-written amendment acts into auditable point-in-time legal text-state. It treats legislation as executable state transitions, preserving provenance, replay evidence, and divergence findings across jurisdictions.

shadow table.

Evidence-traceable, point-in-time multi-agent research for China A shares

Point-in-time recovery module for in-memory node-cache with asynchronous persistence

面向 AI 的高性能 A 股因子回测引擎：固定完整基准较 Qlib 快 14.34×，内置 PIT 股票池、净额换仓、涨跌停/停牌、双边成本与滚动检验。

Write the signal once; it is already production code.

Every consolidated version of Luxembourg law as verbatim publisher files + dated JSON metadata, append-only, sha256-hashed. The tree is the legislative history.

Reviewed temporal EU law from EUR-Lex and Cellar: official English and French expressions, consolidations, relationships, hashes, and append-only observations.

Stop silent data leakage in ML training pipelines.

Open-source point-in-time membership tables for NSE (India): 42 equity indices, F&O segment, quarterly shareholding, and cash-market EOD OHLC — derived from public NSE press releases and circulars.

MCP server for the Federal Register of Legislation: search Australian Commonwealth law, read it as it stood on any date, and check citations against the official register

Free CC0 point-in-time US fundamentals proof pack — 5 companies, 225 annual rows across their latest 3 fiscal years, full methodology, no signup.

Leakage-safe point-in-time features and idempotent DuckDB ingestion

Reusable Agent Skills for quantitative finance research, extracted from the Aria toolchain.

Content-addressed, replay-verifiable snapshots of free US-listed equity data sources.

An honesty harness for LLM trading research: point-in-time discipline, leakage self-tests, and forward-only LLM feature collection. A-shares + US equities.