Skip to main content

The missing CLI and Python library for DaVinci Resolve. Declarative, scriptable, LLM-friendly.

Project description

dvr

PyPI version Python versions CI Docs License: MIT

The missing CLI and Python library for DaVinci Resolve.

Declarative. Scriptable. LLM-friendly. No more silent None returns.

pip install dvr
$ dvr timeline inspect
{
  "name": "MyShow_207_R2",
  "fps": 24.0,
  "duration_frames": 86400,
  "tracks": {
    "video": [{"index": 1, "name": "V1", "clips": 1, "enabled": true}, ...],
    "audio": [{"index": 1, "name": "A1", "clips": 4, "subtype": "stereo"}, ...]
  },
  "markers": [...],
  "color": {"science": "DaVinci YRGB Color Managed v2", "input": "Rec.2020", ...}
}

Why this exists

DaVinci Resolve has a powerful Python scripting API. It's also painful:

  • Silent failures everywhere. AddRenderJob() returns None on success or failure — good luck.
  • String-keyed settings with undocumented valid values.
  • No batch operators. You loop everything.
  • macOS connection footguns. Resolve binds to LAN IP; vanilla scriptapp('Resolve') returns None.
  • Chain navigation. Every .Get*() can return None. One typo and you're traversing nothing.
  • 20+ export formats behind magic enum constants.

dvr wraps the API with a clean object model, idempotent operations, decoded errors, structured I/O, and a CLI that's pleasant for humans and parseable by LLM agents.

Three ways to use it

1. Python library

from dvr import Resolve

r = Resolve()  # auto-connects, handles macOS LAN-IP quirk

with r.project.use("MyShow_207"):
    tl = r.timeline.current
    print(tl.inspect())                      # one call, full state

    # Query language operates on inspected state
    bad = tl.clips.where(lambda c: c.duration < 12)
    for clip in bad:
        clip.add_marker(color="red", note="too short")

    job = r.render.submit(preset="delivery")
    job.wait()                               # blocks with progress
    print(job.output_path)

2. CLI

$ dvr project ensure MyShow_207 --color rec2020_pq_4000 --fps 24
$ dvr timeline inspect | jq '.tracks.video[].clips'
$ dvr render submit --preset delivery --wait --stream
{"job_id": "abc", "status": "rendering", "pct": 12, "eta_s": 240}
{"job_id": "abc", "status": "rendering", "pct": 24, "eta_s": 210}
{"job_id": "abc", "status": "complete", "output": "/path/out.mov"}

3. MCP server (for LLM agents)

$ dvr mcp serve              # exposes the library as MCP tools

LLM agents call typed tools directly — no shell parsing, no silent failures.

Five things that make it fundamentally better than the raw API

  1. One inspect() call replaces ten API calls. Full structured state in a single round-trip.
  2. Idempotent operations. project.ensure(), timeline.ensure(), bin.ensure() — re-run anything safely.
  3. Decoded errors. Every failure carries cause, fix, and state. No more None.
  4. Declarative specs. dvr apply project.dvr.yaml reconciles state. kubectl apply for DaVinci.
  5. Persistent connection. dvr serve keeps Resolve warm — sequential commands run in <100ms.

Install

Channel Command
Homebrew (macOS / Linux) brew install mhadifilms/tap/dvr
PyPI pip install dvr
pipx pipx install dvr
uv uv tool install dvr
From source git clone https://github.com/mhadifilms/dvr && cd dvr && pip install -e ".[dev]"

Optional extras

pip install "dvr[mcp]"            # MCP server for LLM agents
pip install "dvr[docs]"           # docs site dependencies
pip install "dvr[dev]"            # dev (ruff, mypy, pytest)

Homebrew details

dvr ships via my personal tap at mhadifilms/homebrew-tap. The recommended pattern is to tap once, then use the bare command:

brew tap mhadifilms/tap
brew install dvr            # works after the tap is installed

Or, if you only ever want to install once and don't care about updates:

brew install mhadifilms/tap/dvr

brew install dvr says "no formula"? That's expected if you haven't tapped yet. Homebrew only searches homebrew/core by default; our formula lives in our personal tap. Run brew tap mhadifilms/tap and try again.

Requirements

  • Python 3.10+ (matches Resolve's embedded Python on current versions)
  • DaVinci Resolve Studio 18.5+ — external scripting is a Studio-only feature. Blackmagic Design sells Studio as a one-time $295 perpetual license or via Blackmagic Cloud at $30/month per seat.
  • macOS, Windows, or Linux

dvr auto-discovers Resolve's scripting library on each platform. No environment variables needed for typical installs.

The free edition of DaVinci Resolve cannot be scripted from outside the app (Blackmagic restricted this in v19.1+). If you're evaluating dvr without Studio, use --dry-run flags on apply and explore the schema/inspection commands — they work without a live connection.

Status

Pre-1.0. The public API may change. See CHANGELOG.md for breaking changes.

License

MIT — see LICENSE.

Contributing

Issues and pull requests welcome. The project's API surface is large; contributions covering edge cases on Windows / Linux are especially valuable. See CONTRIBUTING.md for setup and conventions.


dvr is an independent open-source project. It is not affiliated with, endorsed by, or sponsored by Blackmagic Design. "DaVinci" and "DaVinci Resolve" are trademarks of Blackmagic Design Pty 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

dvr-1.0.0.tar.gz (101.7 kB view details)

Uploaded Source

Built Distribution

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

dvr-1.0.0-py3-none-any.whl (103.3 kB view details)

Uploaded Python 3

File details

Details for the file dvr-1.0.0.tar.gz.

File metadata

  • Download URL: dvr-1.0.0.tar.gz
  • Upload date:
  • Size: 101.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for dvr-1.0.0.tar.gz
Algorithm Hash digest
SHA256 00e1113c039ce4db7725a204dc352bbd85281f49b215f582da000971c4c5c30d
MD5 c38cbe7059c8b5fffbeba63780bf0cd4
BLAKE2b-256 82d991d2123a1010ec019a492ebf35b1039596ccf882f85ae1e1cdbce95b42d7

See more details on using hashes here.

Provenance

The following attestation bundles were made for dvr-1.0.0.tar.gz:

Publisher: release.yml on mhadifilms/dvr

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

File details

Details for the file dvr-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: dvr-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 103.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for dvr-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3fa1794ac4b0213a6ff468556614f2bdd60a03981bb0213bf8f4a12402382241
MD5 ac2bea123e2a20875e4b6ad0d4927baf
BLAKE2b-256 e460d9065a460337b16d942e9ea44b33858b23489dca1905ad874096a26b1b1a

See more details on using hashes here.

Provenance

The following attestation bundles were made for dvr-1.0.0-py3-none-any.whl:

Publisher: release.yml on mhadifilms/dvr

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