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codex-stats is a local analytics tool that aggregates session data from various coding assistants to provide a unified browser dashboard. It offers detailed insights into usage patterns, project breakdowns, and estimated token-based costs without intercepting API traffic. Users can install the tool via pipx or pip and export shareable visual summaries in JPG or PDF formats.
- ▪The tool automatically detects and reads local data files from Codex, OpenCode, Claude Code, and Hermes.
- ▪It provides a dashboard with tabs for each tool and time windows ranging from daily to all-time views.
- ▪Cost estimates are calculated based on token usage, with specific tool rates configurable in a local TOML file.
- ▪The application supports exporting normalized statistics to JSON and generating shareable image cards for summaries.
- ▪Installation is available through pipx or standard pip, and the tool operates entirely on local artifacts without proxying network traffic.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,693 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Libraries.io |
| Canonical URL | https://libraries.io/pypi/codex-stats |
| Publication time | Sun, 20 Sep 2026 08:29:36 +0000 |
| Retrieval time | 2026-09-20T08:33:47.099Z |
| Last seen | 2026-09-20T08:33:47.099Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | LLR3N03U_dXv · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
codex-stats codex-stats is a local analytics tool for coding agents. It reads local session data from every coding assistant installed on the machine and surfaces: a browser dashboard with an Overview tab for every tool combined, plus one tab per tool (Codex, OpenCode, Claude Code, Hermes) day, week, month, and all-time windows inside every tab model and project breakdowns recent session history estimated token-based cost (or each tool's own recorded cost when available) per-tool cost overrides and a stacked per-tool token trend on the Overview anomaly-aware usage insights and recommendations export for cross-device snapshots shareable JPG cards and browser PDF export from the dashboard Data Sources Each source is detected automatically and skipped when no data is present: Tool Location…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Libraries.io.
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