Skip to main content

Project management MCP server for Claude Code & Codex CLI — track tasks, visualize progress, and manage decisions across AI coding hosts

Project description

PM Lens

PyPI version Python versions CI License: MIT Multi-Host

日本語版 README はこちら

PM Lens for Claude Code + Codex CLI — a project management MCP server that works across multiple AI coding assistants.

Track tasks, visualize progress, record decisions — through natural language in your Claude Code or Codex CLI session. One PM substrate, multiple hosts.

> 進捗は?
✓ Phase 1 "Backend API": 60% complete (12/20 tasks)
  - 3 tasks in progress, 1 blocked
  - Velocity: 8 tasks/week (↑ trending up)

> 次にやること
1. [P0] MYAPP-014: Add user authentication endpoint
2. [P1] MYAPP-015: Implement rate limiting
3. [P1] MYAPP-018: Write integration tests

> MYAPP-014 に着手
✓ MYAPP-014 → in_progress

HTML dashboard (pm_dashboard) — phase progress, velocity, blockers, and risks at a glance:

PM Lens HTML dashboard — phases, velocity, blockers, and risks


Features

  • 🔌 Multi-host first — registers in Claude Code AND Codex CLI with one command (pmlens install --target=auto). Project rules sync to both CLAUDE.md and AGENTS.md automatically (ADR-008). Switch hosts mid-project without losing context — same .pm/ data, same workflows
  • 42 MCP tools — task CRUD, child issues, status, blockers, velocity, dashboard, ADR, session memory, workflows, knowledge records, multi-host rules injection, cross-host outbox bridge, build-in-public X drafts, and more
  • Workflow engine — template-based development workflows with loops, user gates, and chaining (Discovery → Development)
  • Knowledge records — structured findings between casual memory and formal ADR (research, tradeoff, spec, etc.)
  • Super Research skill — 3 parallel agents (Domain Expert, Critical Analyst, Lateral Thinker) + Depth Check (6 dimensions) + Fact Check + Cross-Check
  • Session memory — SQLite + FTS5 full-text search. Memories persist across sessions and link to tasks/decisions
  • Cross-project search — search memories across all projects via a global index
  • Natural language — say "進捗は?" or "what's next?" instead of memorizing commands
  • Zero configurationpip install + pmlens install, then just say "PM初期化して"
  • Multi-project — manage all your projects from a global registry with cross-project dashboards
  • Git-friendly — plain YAML files in .pm/ directory, trackable with git diff
  • Non-invasive — adds only a .pm/ directory to your project. rm -rf .pm/ to remove completely

Quick Start

Install (once)

pip install pm-server
pmlens install          # Registers MCP server in Claude Code
# Restart Claude Code

Update

pip install --upgrade pm-server
# Restart Claude Code

Note: pip install pm-server without --upgrade will NOT update an existing installation. Always use --upgrade (or -U) to get the latest version.

After upgrading, the CLAUDE.md auto-action rules in each project are automatically updated:

  1. On the next session start, pm_status detects the template version mismatch
  2. Claude Code runs pm_update_rules to update the rules section (covers both CLAUDE.md and AGENTS.md when applicable)
  3. New features (e.g., child issue workflow) become active immediately

You can also update manually:

> CLAUDE.md を更新して    # or: pm_update_rules

The legacy pm_update_claudemd tool is still available as a back-compat alias (CLAUDE.md only). It emits a DeprecationWarning since v0.6.0 and is slated for removal in v1.0.0 (PMSERV-055).

Troubleshooting: MCP fails to connect after an update

If Claude Code reports an MCP connection failure (or pmlens: ENOENT) right after pip install --upgrade, the usual cause is an interrupted install. If pip is stopped mid-extraction (Ctrl-C, sleep, low disk), the package can be left half-written: pip list still shows it as installed, but some modules and the pmlens console script are missing — so the launcher can't be found.

Recover with a forced clean reinstall of the code package (pmlens):

pip install --force-reinstall --no-deps pmlens==<version>
pyenv rehash          # pyenv users only — regenerate the shim
pmlens --help         # verify → "PM Lens — ..."

MCP servers connect only at startup, so restart Claude Code afterward (a failed connection is not retried within a running session).

Initialize a project

# In Claude Code, cd to your project directory
> PM初期化して
✓ .pm/ created
✓ Registered in global registry
✓ Detected: name=my-app, version=1.2.0 (from package.json)

PM Lens automatically detects project info from package.json, pyproject.toml, Cargo.toml, .git/config, and README.md.

Use it

You say What happens
進捗は? / status Show project progress summary
次にやること / what's next Recommend next tasks by priority & dependencies
タスク追加:○○を実装 Add a new task (auto-numbered)
MYAPP-003 完了 Mark task as done
MYAPP-003 に課題がある Add child issue to task (auto-inherits phase)
ブロッカーある? List blocked tasks
ダッシュボード見せて Generate HTML dashboard (Chart.js, dark theme)
この設計にした理由を記録 Record an Architecture Decision Record (ADR)
全プロジェクトの状態 Cross-project portfolio view

Multi-Host Support (Claude Code + Codex CLI)

PM Lens v0.5.0 supports two MCP hosts — Claude Code (~/.claude/) and Codex CLI (~/.codex/config.toml) — as registration targets. The two hosts keep MCP configuration in completely separate stores, so a single install must reach both when needed.

--target flag

pmlens install and pmlens uninstall accept a --target (alias -t) flag. The default is conservative on purpose: existing scripts and documentation that say pm-server install continue to register only Claude Code, exactly as in v0.4.x.

--target Behavior
claude-code (default) Register in Claude Code only. ~/.codex/config.toml is never opened.
codex Register in Codex CLI only. ~/.claude/ is never touched.
auto Detect via filesystem (~/.codex/config.toml exists?) — register in detected hosts only.
all Force every known host. Creates ~/.codex/config.toml if absent.

The companion command pmlens update-rules (introduced in v0.5.0 alongside this feature) defaults to --target auto because it is a brand-new command with no v0.4.x baseline to preserve.

Safety properties

  • Idempotent: running install twice is a no-op on the second call.
  • Backed up: ~/.codex/config.toml is copied to a timestamped backup before each write. (Claude Code uses claude mcp add, which has its own internal handling.)
  • Comment-preserving: edits to config.toml go through tomlkit, so user-written comments, key order, and blank lines survive verbatim.
  • Dry-run: --dry-run prints the planned actions per host without writing anything. The output prefixes each line with [dry-run].
  • Per-host isolation: a failure in one host (e.g. Codex CLI not installed when --target=all) does not abort the other host; the outcome is reported per host with status installed / already_registered / skipped / failed.

Quick examples

# Default (back-compat) — Claude Code only
pmlens install

# Add PM Lens to whichever host(s) are detected on this machine
pmlens install --target auto

# Force registration in both, creating ~/.codex/config.toml if needed
pmlens install --target all

# Preview what would happen, don't touch any files
pmlens install --target auto --dry-run

# Symmetric removal (same --target semantics)
pmlens uninstall --target auto

See docs/design.md §5.2 and ADR-007 for the detailed rationale (detect-then-patch, backup, dry-run, absolute-path embedding).

Project rules injection (CLAUDE.md / AGENTS.md)

pm_init and pm_update_rules keep PM Lens's auto-action rules synced into the appropriate per-host instruction file:

Host Instruction file
Claude Code CLAUDE.md
Codex CLI AGENTS.md

The rules section is bracketed by <!-- pm-server:begin v=N --> / <!-- pm-server:end --> markers and updated in place — user content outside the markers is never touched.

pm_update_rules (and its CLI sibling pmlens update-rules) defaults to --target auto: it detects which host(s) are present on this machine and updates only those instruction files. Detection runs four signals (filesystem, marker, CLAUDECODE env, fallback) — see ADR-008 amendment A3 in docs/design.md §6.4.

Action Tool
MCP (in-session) pm_update_rules(target="auto", dry_run=False)
CLI (this project) pmlens update-rules --target auto
CLI (every registered project) pmlens update-rules --target auto --all
Legacy CLAUDE.md only pm_update_claudemd / pmlens update-claudemd

AGENTS.md is backed up to AGENTS.md.bak.<timestamp> before each write. CLAUDE.md backup symmetry is still pending in PMSERV-058 (originally targeted for v0.6.0).

See docs/design.md §6 and ADR-008 for the multi-host rules-injection design (claudemd → rules module rename, marker convention, dataclasses, atomic-write helpers).


MCP Tools (42 tools)

Project Management

Tool Description
pm_init Create .pm/, register in global registry, auto-detect project info
pm_status Phase progress, task summary, blockers, velocity, active tasks, hook auto-setup
pm_tasks List tasks with filters (status / phase / priority / tag)
pm_add_task Add task with auto-numbered ID (e.g., MYAPP-001)
pm_update_task Update status, priority, notes, blocked_by
pm_next Recommend next tasks (excludes blocked / unmet dependencies)
pm_blockers List blocked tasks across projects
pm_add_issue Add child issue to a task (phase auto-inherited, parent auto-reverted to review)

Records

Tool Description
pm_log Daily log entry with auto task linking (progress / decision / blocker / note / milestone)
pm_add_decision Add ADR with context, decision, and consequences

Analysis

Tool Description
pm_velocity Weekly velocity + trend (up / down / flat)
pm_risks Auto-detect risks: overdue, stale, long-blocked tasks

Visualization

Tool Description
pm_dashboard HTML dashboard with workflow progress + knowledge map (single project or portfolio)

Discovery

Tool Description
pm_discover Scan directories for .pm/ projects and auto-register
pm_cleanup Remove invalid paths from registry
pm_list List all registered projects

Memory (Session Continuity)

Tool Description
pm_remember Save a memory with auto task linking (observation / insight / lesson)
pm_recall Recall memories — FTS5 search, by task, or cross-project
pm_session_summary Save / get / list session summaries for continuity
pm_memory_search Advanced search with type, tag, and task filters
pm_memory_stats Memory DB statistics (total, by type, DB size)
pm_memory_cleanup Clean up old memories (dry-run supported)

Knowledge Records

Tool Description
pm_record Record structured knowledge (research / market / spike / tradeoff / spec / api_design)
pm_knowledge Query, filter, update, and summarize knowledge records
pm_knowledge_query Read-only knowledge query — list / filter / summarize records (ADR-018)

Workflow Engine

Tool Description
pm_workflow_start Start a workflow from a template (development / discovery / super-research / brainstorming / content-pipeline)
pm_workflow_status View current step, progress, and guidance for active workflow
pm_workflow_advance Advance to next step with artifacts and notes; supports loops and skip
pm_workflow_abandon Abandon a workflow (transition to ABANDONED, preserves step history)
pm_workflow_list List all workflow instances with status filter
pm_workflow_templates List available workflow templates (built-in + custom)

X Content Pipeline (Build-in-Public, ADR-024)

Tool Description
pm_draft_x Stage a build-in-public X draft from a .pm signal — raw content stays internal (PMSERV-113)
pm_redact_draft Layer-1 deterministic redaction prefilter — scrubs hook + each body segment, count-only report
pm_x_drafts_pending Review queue for staged drafts — exposes ONLY redacted / safe fields
pm_reject_draft Discard a staged draft with a mandatory, auditable reason

Outbox (Cross-Host Bridge)

Tool Description
pm_outbox_remember Capture a memory / lesson from Claude Desktop into the cross-host outbox
pm_outbox_log Capture a daily-log entry from Claude Desktop into the cross-host outbox
pm_outbox_pending List pending entries in the Desktop outbox (~/.pm/desktop/desktop.db)
pm_outbox_merge Promote pending outbox entries into the target project's main store
pm_outbox_reject Reject pending outbox entries with an auditable reason

Maintenance

Tool Description
pm_update_rules Update PM Lens rules section in CLAUDE.md and/or AGENTS.md (multi-host, ADR-008). Default target=auto detects installed hosts
pm_update_claudemd Legacy alias of pm_update_rules(target="claude-code") — deprecated since v0.6.0, removal in v1.0.0

Parallel Work Lines (Branch-Aware Continuity)

Running several streams of work in one repo — e.g. a mainline, a paper, and teaching material? PM Lens gives each line its own session-continuity context. Two topologies are supported (ADR-028).

Recommended: one git worktree per line (zero config)

PM Lens scopes everything — tasks, memories, and session summaries — to the directory that contains .pm/. Because .pm/memory.db is git-ignored, every git worktree gets its own independent store automatically:

git worktree add ../myproj-paper  paper   # 論文 line
git worktree add ../myproj-edu    edu     # 教材 line
# the original checkout stays the mainline (本流)

Now cd ../myproj-paper and pm_recall returns the paper line's last session — no flags, no schema, no branch detection. Three lines = three editor windows, no stash dance, no merge conflict on switch.

Alternative: one directory, branch-aware track

Prefer a single directory and git checkout between lines? Pass the branch as a track:

pm_recall(track="paper")     # last session recorded while on the `paper` branch
  • The branch is recorded automatically when pm_session_summary(action="save") runs. It is read from .git/HEAD as text — PM Lens never shells out to git, so a hostile .git/config can't execute code (CVE-2026-45033 / git config-exec class).
  • Under the bundled plugin, the SessionStart hook surfaces the current branch so the model can pass track= on its first recall; re-pass it after any git checkout.
  • If a line has no recorded summary yet (e.g. an existing DB from before this feature), pm_recall(track=...) gracefully falls back to the overall-latest and sets track_matched: false — so it never breaks on day one.

Logical track labels (.pm/tracks.yaml)

A work line is a concept; branches are implementation detail that get renamed and split. Map a logical label to one or more branch globs so continuity follows the line, not the branch name:

# .pm/tracks.yaml
tracks:
  本流: [main]
  論文: [feat/p3-*, research/wave-scattering-*]
  教材: [edu/*]
pm_recall(track="論文")   # latest session across ANY branch matching the 論文 globs
  • Resolution is at query time, so renaming or adding a branch within a line never breaks history (rename-resistant).
  • track accepts a logical label OR a raw branch name — labels resolve first; anything else is matched as a raw branch.
  • Backward compatible: with no tracks.yaml, every track is a raw branch (the v1 behavior).
  • When matched, the response includes track_branch (which actual branch the context came from); a malformed tracks.yaml degrades to raw-branch matching and surfaces a warnings[] entry.

See ADR-028 (design) and ADR-035 on the SynapticLedger side (unified .pm/ + track=).


Data Structure

PM Lens stores task data as plain YAML and memories in SQLite:

your-project/
└── .pm/
    ├── project.yaml        # Project metadata
    ├── tasks.yaml          # Tasks with status, priority, dependencies
    ├── decisions.yaml      # Architecture Decision Records (ADR)
    ├── knowledge.yaml      # Structured knowledge records
    ├── workflows.yaml      # Workflow instances and state
    ├── milestones.yaml     # Milestone definitions
    ├── risks.yaml          # Risks and blockers
    ├── memory.db           # Session memories (SQLite + FTS5)
    ├── workflow_templates/  # Custom workflow templates (optional)
    └── daily/
        └── 2026-04-08.yaml # Auto-generated daily log

~/.pm/
├── registry.yaml           # Global project index
└── memory.db               # Cross-project memory index

YAML files are human-readable and hand-editable. Memory DB is the source of truth for session data; the global index at ~/.pm/memory.db enables cross-project search.


CLAUDE.md Integration

Add this to your project's CLAUDE.md for automatic PM behavior (or run pmlens update-rules):

## PM Lens 自動行動ルール(必ず従うこと)

### セッション開始時(最初の応答の前に必ず実行)
1. pm_status を MCP ツールとして実行し、現在の進捗を表示する
2. pm_next で次に着手すべきタスクを3件表示する
3. pm_recall で前回セッションの文脈を取得する
4. ブロッカーや期限超過があれば警告する
5. pm_status の claudemd.other_rule_sections に他のルールセクションが報告された場合、この CLAUDE.md 内の該当セクションのルールも全て実行する

### タスクに着手する前
1. 該当タスクを pm_update_task で in_progress に変更する

### 作業中に重要な発見・判断があった時
1. pm_remember で記憶を保存する(関連タスクIDがあれば task_id で紐付け)

### コンテキスト保全(Compaction / Clear 対策)
Claude Code はセッションが長くなるとコンテキストを自動圧縮(compaction)する。
圧縮のタイミングは予測できないため、重要な情報は随時保存すること。
1. 重要な発見・技術的判断は発生時点で即座に pm_remember で保存する(セッション終了を待たない)
2. 複雑な議論や設計検討の後は、結論を pm_remember でまとめて保存する
3. 3往復以上のやり取りで未記録の知見があれば、チェックポイントとして pm_remember で保存する
4. ユーザーが /clear する前は必ず pm_session_summary を実行する
5. Compaction 後にコンテキストが失われていると感じたら pm_recall で復元する

### タスク完了時(コードが動作確認できたら)
1. pm_update_task で done に変更する
2. all_issues_resolved フラグが返された場合、親タスクの完了もユーザーに提案する
3. pm_log に完了内容を記録する
4. 次の推薦タスクを pm_next で表示する
5. アトミックコミットを作成する

### タスク完了確認中にイシュー(課題)が見つかった時
1. pm_add_issue で親タスクに紐づくイシュー(子タスク)を作成する
   - phase は親タスクから自動継承される
   - 親タスクが done だった場合、自動で review に戻される
2. イシューを解消したら pm_update_task で done に変更する
3. 全イシューが解消されると all_issues_resolved フラグが返される
4. 親タスクの完了をユーザーに提案する

### 設計上の意思決定が発生した時
1. ユーザーに「ADRとして記録しますか?」と確認する
2. 承認されたら pm_add_decision で保存する

### コーディングセッション終了時
1. 進行中のタスクの状態を確認し、必要に応じて更新する
2. pm_log にセッションの成果を記録する
3. pm_session_summary で要約を保存する
4. 未コミットの変更があればコミットする

Tips: Getting the Most out of PM Lens

Recommended Workflow

1. Install & register      →  pip install pm-server && pmlens install
2. Start Claude Code       →  (restart after install)
3. Initialize project      →  "PM初期化して" or "Initialize PM"
4. Add tasks               →  "Add task: implement user auth"
5. Work on tasks            →  "Start MYAPP-001"
6. Complete tasks           →  "MYAPP-001 done"
7. Issues found in review   →  "MYAPP-001 has an issue: ..." (creates child issue)
8. End session              →  "Session wrap-up" (triggers summary + log)

Protecting Context from Compaction

Claude Code automatically compresses (compacts) conversation context when sessions get long. This means detailed information from earlier exchanges can be lost. PM Lens's memory tools protect against this:

Situation What to do
Made an important discovery pm_remember immediately — don't wait for session end
Finished a design discussion Summarize the conclusion with pm_remember
About to run /clear Run pm_session_summary first
Resuming after compaction pm_recall restores previous context
Starting a new session pm_recall + pm_status (auto if CLAUDE.md rules are set)

Key principle: Save early, save often. Compaction timing is unpredictable — if a finding is worth keeping, record it now.

Session Continuity

PM Lens's memory layer ensures nothing is lost between sessions:

Session 1                          Session 2
  │                                  │
  ├─ pm_remember (findings)          ├─ pm_recall ← restores context
  ├─ pm_remember (decisions)         ├─ pm_status ← current state
  ├─ pm_session_summary              │
  └─ (session ends)                  └─ (continues seamlessly)

Automatic Hooks (Lifecycle Enforcement)

PM Lens automatically installs Claude Code hooks at first session start (pm_status). After a git commit, a PostToolUse hook injects a reminder into the conversation, prompting Claude to call pm_log, pm_update_task, and pm_next.

  • Hooks are installed globally in ~/.claude/settings.json
  • Existing user hooks are preserved (PM Lens hooks are appended, not replaced)
  • No manual setup needed — hooks are auto-installed on upgrade
  • To manage manually: pmlens install-hooks / pmlens uninstall-hooks

Multi-Project Management

> "Discover projects under ~/projects"    # Auto-scan & register
> "Show all projects"                     # Portfolio overview
> "Search memories for 'auth' globally"   # Cross-project search
> "Show dashboard for all projects"       # Portfolio HTML dashboard

CLI Commands

pmlens install             # Register MCP server (default: Claude Code only — back-compat).
                           # Pass --target {auto,all,claude-code,codex} for multi-host.
                           # Pass --dry-run to preview without writing. See "Multi-Host Support" below.
pmlens uninstall           # Symmetric to install (same --target / --dry-run semantics).
pmlens serve               # Start MCP server (called by Claude Code automatically)
pmlens discover .          # Scan for projects with .pm/ directories
pmlens status              # Show project status from terminal
pmlens context-inject      # Print session context to stdout (for hook integration)
pmlens migrate             # Migrate from pm-agent (rename transition)
pmlens update-rules        # Inject PM Lens rules into CLAUDE.md and/or AGENTS.md (ADR-008).
                           # --target {auto,all,claude-code,codex} (default: auto)
                           # --dry-run / --all (apply to every registered project)
pmlens update-claudemd     # Legacy alias of `update-rules --target=claude-code`. Deprecated since v0.6.0.
pmlens install-hooks       # Manually install Claude Code hooks (auto-installed via pm_status)
pmlens uninstall-hooks     # Remove PM Lens hooks from Claude Code settings

Architecture

For a graphical overview (module map, MCP tool catalog with Lens RO_ALLOWLIST, Lens mode flow, workflow state machines, task/issue lifecycle, data layout, and distribution channels), see docs/architecture.html. Open it directly in a browser — it is a single self-contained static file (no external dependencies).

Claude Code Session
  │
  ├── CLAUDE.md auto-action rules
  ├── PostToolUse hooks (auto-installed)
  ├── Skills (super-research, etc.)
  │
  └── MCP Server (stdio)
        └── pmlens serve
              │
              ├── server.py    → 42 MCP tools (FastMCP)
              ├── models.py    → Pydantic v2 data models (17 models, 15 enums)
              ├── storage.py   → YAML read/write
              ├── workflow.py  → Workflow engine (state machine)
              ├── memory.py    → SQLite memory store + FTS5 search
              ├── recall.py    → Session context builder (token-budgeted)
              ├── hooks.py     → Claude Code hook handler + installer
              ├── context.py   → CLI context injection
              ├── velocity.py  → Velocity calculation & risk detection
              ├── dashboard.py → HTML/text dashboard (Jinja2) + workflow progress + knowledge map
              ├── discovery.py → Auto-detect project info
              └── installer.py → Multi-host MCP registration (ADR-007)
                                   ├─ install_claude_code() → claude mcp add (subprocess)
                                   ├─ install_codex()       → ~/.codex/config.toml (tomlkit)
                                   └─ install(target=...)   → orchestrator + InstallSummary

Data layer (operated on through pmlens serve):
  ├── project-A/.pm/ (YAML + workflows + knowledge + memory.db)
  ├── project-B/.pm/ (YAML + workflows + knowledge + memory.db)
  └── ~/.pm/registry.yaml + memory.db

Migrating from pm-agent

If you were using the earlier pm-agent package:

pip uninstall pm-agent
pip install pm-server
pmlens migrate          # Switches MCP registration from pm-agent to pmlens
# Restart Claude Code

The migrate command will:

  • Remove the old pm-agent MCP registration
  • Register pmlens as the new MCP server
  • Verify ~/.pm/registry.yaml integrity
  • Warn about any CLAUDE.md files that reference pm-agent

Your .pm/ data directories are unchanged — no data migration needed.


Requirements

  • Python 3.11+
  • Claude Code (with MCP support)

Dependencies


Development

git clone https://github.com/flc-design/pmlens.git
cd pmlens
pip install -e ".[dev]"
pytest                  # 1,000+ tests
pytest --cov            # with coverage (branch coverage, show missing)
ruff check src/         # Lint
ruff format src/        # Format

Design Principles

  1. Zero Configurationpip install + one command, done
  2. Auto-everything — detection, registration, and inference are fully automatic
  3. Git-friendly — plain text YAML, trackable with git diff
  4. Human-readable — safe to hand-edit, won't break
  5. AI-native — formats that Claude Code can naturally read and write
  6. Non-invasive — only adds .pm/, never modifies your project

Trademark notice

"PM Lens"™ is a trademark of FLC design Co., Ltd., used as the display name of this project. The project is published on PyPI as pmlens; the Python import name (pmlens), the console binary (pmlens), and the MCP tooling all use the pmlens identifier. A compatibility wrapper distribution named pm-server is retained on PyPI so existing pip install pm-server / uvx pm-server invocations keep working during the transition to the PM Lens brand.

This project is not affiliated with, endorsed by, or sponsored by:

  • Microsoft Project Server / Project Online / Project for the web (Microsoft Corporation)
  • Percona Monitoring and Management (PMM Server) (Percona LLC)
  • Apple Carbon Print Manager (PMServer opaque type in the deprecated ApplicationServices framework) (Apple Inc.)
  • Informatica PowerCenter (pmserver.exe Integration Service daemon) (Informatica LLC)
  • Lens (the Kubernetes IDE) (Mirantis, Inc.)
  • Any other product, vendor, or service that may use similar terminology.

All trademarks are the property of their respective owners.


License

MIT — Shinichi Nakazato / FLC design Co., Ltd.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pmlens-0.12.0.tar.gz (703.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pmlens-0.12.0-py3-none-any.whl (144.5 kB view details)

Uploaded Python 3

File details

Details for the file pmlens-0.12.0.tar.gz.

File metadata

  • Download URL: pmlens-0.12.0.tar.gz
  • Upload date:
  • Size: 703.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for pmlens-0.12.0.tar.gz
Algorithm Hash digest
SHA256 1bb0302a128df202bc13ee158193e03b3845135e59aee37c4e1872f40cc5bd4a
MD5 61c1d61a61c1eb97862ef20e30d7f5aa
BLAKE2b-256 f73e10dbb060661896a8a46dd15a4882bee746ed0e793b3d360a05a0346e231f

See more details on using hashes here.

Provenance

The following attestation bundles were made for pmlens-0.12.0.tar.gz:

Publisher: release.yml on flc-design/pmlens

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pmlens-0.12.0-py3-none-any.whl.

File metadata

  • Download URL: pmlens-0.12.0-py3-none-any.whl
  • Upload date:
  • Size: 144.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for pmlens-0.12.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b07b8e813cd525142c7efacff263e37cf7578318d23103484bd630c2fba3e292
MD5 6af945e61344ee20df0ffde8905705fc
BLAKE2b-256 e53797364b8f92fb6bcc021e688e41285b40f123154079849e0667e41814fe29

See more details on using hashes here.

Provenance

The following attestation bundles were made for pmlens-0.12.0-py3-none-any.whl:

Publisher: release.yml on flc-design/pmlens

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page