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What pinning does—and what it does not do
A dependency declaration can express which versions a project supports, while a lockfile or pinned requirements file records the versions selected for a particular installation. These serve different purposes: compatibility policy helps a reusable project work across suitable versions; an environment snapshot helps an application or deployment install a known set.
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Exact version pins constrain resolution, but they do not prove that every operating system, processor architecture, runtime, optional dependency, or native build will behave identically. Reproduce and verify the environments your project actually supports.
Pin and verify dependencies in npm
Declare dependencies and create the lockfile
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Add dependencies using
npm install <package>. By default, npm saves a semver range inpackage.json, rather than requiring that exact version forever. If you want an exact direct-dependency version in the manifest, usenpm install --save-exact <package>ornpm install -E <package>. -
Run
npm installto resolve dependencies and create or updatepackage-lock.json. The manifest expresses acceptable ranges; the lockfile records the resolved dependency tree and package metadata, including resolved locations and integrity values. npm describes the lockfile as recording the exact tree so subsequent installs can reproduce it despite intermediate dependency updates: npm package-lock.json documentation. -
Review and commit both files. A lockfile is useful only if the version-controlled copy is the one used by the team and automation. npm recommends committing it so installs can reproduce the recorded tree: npm package-lock.json documentation.
Use npm ci for a clean automated install
In CI or deployment, run npm ci from the project directory. It requires a lockfile, removes an existing node_modules, fails if package.json and the lockfile disagree, and does not rewrite either file. Those properties make it a check that automation is installing the committed dependency state, rather than silently updating it. See npm ci documentation.
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If the lockfile was generated with options that change dependency-tree shape, such as --legacy-peer-deps or --install-links, use the same configuration for npm ci. A committed project .npmrc can preserve these settings. The npm documentation covers this requirement in its npm ci guidance.
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Check the npm toolchain too
Lockfile format and behavior vary across npm generations. Check the package-lock reference against the npm version your project supports; the documentation page identifies npm 12.1.0 in its version selector. A successful locked install confirms consistency for that install context, not universal equivalence across different Node.js versions, platforms, or native build environments.
Pin and verify dependencies in Python
Keep project metadata distinct from an environment lock
Use project metadata—commonly pyproject.toml—to declare the dependencies a project needs and appropriate supported version bounds. This describes what the project supports; it is not necessarily a complete list of every transitive package selected in one environment. The Python Packaging User Guide cautions that exhaustive transitive lists and exact pins are generally better suited to requirements files than package metadata such as install_requires: Packaging User Guide: install_requires vs. requirements files.
Create a pinned environment requirements file
For an application or deployment that needs a specific environment, use a requirements file with exact pins, for example requests==2.32.0. Install it with:
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pip defines pinning as using the == operator to require a specific package version: pip: Repeatable Installs. The example version above illustrates the syntax; select versions appropriate to your project rather than treating it as a recommendation.
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To capture the packages currently installed in an environment, activate that environment and run:
python -m pip freeze > requirements.txt
pip freeze reports installed package versions and can capture both direct and transitive packages. Treat its output as an environment snapshot to review, not as a curated statement of the versions your project supports. The pip documentation describes freeze as a way to list installed packages: Packaging User Guide: installing packages using pip and virtual environments.
Install and inspect in the intended environment
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Create and activate a virtual environment for the project. Use the Python executable appropriate to your platform: the guide shows
python3on Unix-like systems andpyon Windows. Follow its virtual-environment instructions.Do these 3 things before closing this tab:
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Install from the committed file with
python -m pip install -r requirements.txt, using the same interpreter context as the application. -
Inspect the installed set with
python -m pip freezeorpython -m pip listand compare it with the requirements file. The environment and package listing commands are documented in the Packaging User Guide.
Add hashes when artifact identity matters
Exact pins identify versions; hashes can additionally verify that downloaded artifacts match approved files. pip’s hash-checking mode requires exact version matching and can help guard against index or certificate-chain compromise and changes to an artifact published under the same version. See pip secure installs and hash-checking mode.
Hash checking has a trade-off: it does not provide the availability benefits of a private package index or vendored libraries. A hash confirms an artifact against the expected digest; it cannot make that artifact available if the package source is unavailable.
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What to verify before relying on a lock
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Files are committed: npm projects should commit
package-lock.jsonalongsidepackage.json; Python deployments should commit the pinned requirements file used to build the environment.Best Value
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Installs use the committed state: use
npm cifor clean npm automation, and install Python requirements in the intended virtual environment withpython -m pip install -r requirements.txt. -
Tool versions and settings are aligned: use the npm generation and tree-shaping configuration expected by the lockfile. For Python, use the interpreter and pip context used by the application; the cited pip repeatable-installs page is labeled as development documentation, so validate commands against the pip version used by your project.
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The deployment matrix is tested: verify supported operating systems, runtimes, architectures, environment markers, optional dependencies, and native extensions directly. A pin or lock alone does not establish identical behavior across them.
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npm and Python: what the files actually guarantee
| Question | npm | Python with pip |
|---|---|---|
| Where are project compatibility declarations? | package.json expresses dependency ranges; --save-exact can save an exact direct dependency version. |
Project metadata such as pyproject.toml describes dependencies and supported bounds; it is not generally a full environment lock. |
| Where is the resolved environment recorded? | package-lock.json records the resolved dependency tree and package metadata. |
A pinned requirements file can record exact versions, including transitive packages captured from an installed environment. |
| How do you install against that record? | npm ci performs a clean install and errors on manifest-lock disagreement. |
python -m pip install -r requirements.txt installs the requirements supplied; hash-checking can add artifact verification. |
| What verifies artifact identity? | The lockfile records integrity metadata for packages. | Declared hashes are checked in pip hash-checking mode; exact pins are required. |
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