Dependency Tree Viewer — Visualize package.json
Parse a package.json file and display its dependency tree in a visual hierarchical format.
How it works
- 1Paste or type your text in the input field
- 2Click "Parse" — processing happens in your browser
- 3Copy the result or download as a text file
What to do next
About Dependency Tree Viewer
Dependency Tree Viewer is a developer tool that runs in your browser. Parse a package.json file and display its dependency tree in a visual hierarchical format. The page you are reading is the same workspace you will use to do the work: pick a file or paste your input, choose the options that matter to you, and the tool produces the result on your device.
Dependency Tree Viewer runs on standard browser APIs — an open-source, well-audited engine that performs the developer utility natively in the browser. It accepts the formats listed in the upload area and produces output that opens in any standard developer viewer. Per-run input is capped at 0 MB.
Dependency Tree Viewer fits naturally into the workflow of devops engineers crafting one-liners and backend developers inspecting requests, both of whom typically need a fast result inside the browser. There is no learning curve to budget for: anyone who has used a typical web upload form can complete a run on the first try.
The browser sandbox isolates the page's JavaScript from the rest of the system, the same way it isolates every other tab you have open. Dependency Tree Viewer works inside that sandbox: it reads the file you give it, processes it with standard browser APIs, and writes the result back. Nothing leaves the page's memory unless you choose to download or copy it.
Dependency Tree Viewer is shaped for the gap between "I'll do it by hand" and "I'll script it." When the job is small enough that automating it would take longer than doing it, but annoying enough to want a focused tool — that is the situation this page is built for.
Once the engine finishes, the output is offered as an immediate download. There is no preview gate, no email-wall, and no "register to download" intermediary — the file is yours the moment it is ready.
The 0 MB ceiling on input size is the only fixed limit. Output files are produced in standard formats that every common viewer recognises, and the tool runs the same way regardless of how many times you have used it during the session.
Once you have used Dependency Tree Viewer, the natural next steps depend on what you are doing with the result. Common follow-ups include Import Extractor, Config Validator, and JSON Test Data Generator. These are surfaced on the page so you do not have to hunt the catalog manually.
Dependency Tree Viewer is built around steady iteration on a small set of options rather than feature creep. Every additional setting attracts a slightly different audience, but a long settings panel makes the common case slower for everyone. The current controls reflect what users of the tool actually use.
From a product perspective, Dependency Tree Viewer is one of the simplest possible expressions of "do one thing well." The catalog contains dozens of related tools that each handle a slightly different developer utility task, and every one is a separate page rather than a tab inside a larger app. That separation keeps each tool fast to load and easy to bookmark.
Dependency Tree Viewer is built around the moment of need: a focused page you open when you have a specific task, complete the task, and close. The catalog contains many adjacent tools so the same model serves the surrounding parts of a typical developer utility workflow.
Tips from users who reach for Dependency Tree Viewer regularly: process one input first to confirm the settings produce what you expect before committing to a batch; treat the page as the working surface and avoid leaving large jobs running in a backgrounded tab where the browser may throttle JavaScript; and if a particular file fails, check whether the source is intact by opening it in its native viewer — most "tool errors" are actually input errors.
Common gotchas worth flagging: the supported formats are listed in the upload area. The 0 MB ceiling is per-file, not per-session; you can run as many separate jobs as you like, but a single oversized input will be rejected on load.
That is essentially everything Dependency Tree Viewer does and how it does it. Open the tool above, drop in your input, and the work happens in the page. If you find yourself reaching for it often, bookmark the page — it loads quickly on subsequent visits, and your most-recent settings are remembered for the rest of the session.
How it works
- 1Open Dependency Tree Viewer in your browser. The page loads quickly and the tool is ready to use the moment it becomes interactive.
- 2Add your developer input by dropping it onto the page or browsing for it.
- 3Adjust the options to match what you need. Sensible defaults cover the most common case, so you can usually skip this step.
- 4Click to start the job. The engine (standard browser APIs) processes the input in the page; you can watch the progress indicator until it completes.
- 5Grab the output as soon as the run completes. You can also copy the result instead of downloading if the next tool in your workflow accepts pasted input.
- 6Re-run with different settings as often as you want. Each run produces a fresh output and the original file on disk is never modified.
Common use cases
- Inspect a regex against a test string before committing it using Dependency Tree Viewer.
- Compare two API responses to spot a regression.
- Convert between data formats while wiring up an integration.
- Validate a config blob before pushing to staging.
- Encode binary content for transport in a JSON body.
- Format a noisy log line into something a teammate can read.
- Generate boilerplate from a single specification line.
- Generate a quick fixture without leaving the browser.
FAQ
Does it resolve nested dependencies?
No — it reads the direct dependencies from package.json only, not the full node_modules tree.
Can I paste a lock file?
Only package.json format is supported. Lock files use a different schema.
Does it show version ranges?
Yes — the version specifier string from each dependency entry is displayed as-is.
Private?
Yes — everything runs locally in your browser.
Does it work for Yarn or pnpm?
Any standard package.json works regardless of the package manager you use.
Monorepo workspaces?
Paste each package.json individually; workspace resolution is not built in.
Is it safe to use Dependency Tree Viewer on confidential files?
Your file is processed inside your browser by standard browser APIs. The engine reads the file's bytes from your tab's memory, computes the result, and writes the result back into the tab. You can confirm what the page does by opening developer tools and watching the Network tab during a run — the requests you see are for the tool's static assets only.
Will Dependency Tree Viewer keep working in a year?
Dependency Tree Viewer is updated whenever the underlying engine releases an improvement or a bug fix. Because the tool is delivered as a static page, every visit fetches the latest version automatically — there is no "version" to manage on your end. If a particular release ever changes default behaviour, the change is documented on Favtoo's changelog so you can confirm what shifted.
Do I need to install anything to use Dependency Tree Viewer?
No installation is needed. Dependency Tree Viewer runs as a normal web page, with no browser extension, no native helper, and no separate desktop client to download. That is partly a privacy choice — extensions can request broad permissions, while a regular page is sandboxed by default — and partly a convenience one: you can use Dependency Tree Viewer on any computer you have temporary access to without leaving anything installed on it.
Can I trust the output of Dependency Tree Viewer for important work?
Dependency Tree Viewer is built on standard browser APIs, which is the same class of engine used by professional developer utility pipelines. For deterministic operations, the output is byte-identical to what an equivalent CLI run would produce; for operations involving a codec or a model, the result is well within the range of what comparable tools generate. If you have a specific reference output you need to match, run a small test job first to confirm the configuration produces what you expect.
How long does Dependency Tree Viewer take to process a file?
Most jobs finish in seconds. Speed scales with input size and with how many CPU cycles your browser tab has available — the engine runs in your browser, so it shares resources with whatever else you have open. For inputs near the 0 MB ceiling, expect anywhere from a few seconds to roughly a minute on a typical laptop. Closing other heavy tabs noticeably speeds things up.
What should I do if Dependency Tree Viewer fails on my file?
Failures usually fall into one of three buckets: the input is in an unsupported format, the input is over the size cap, or the input is structurally malformed (a truncated download, a partial export, or a stream the engine does not recognise). The first two are easy to confirm — check that your file is in a supported format and that it is below 0 MB. For the third, opening the file in its native viewer first is the fastest way to confirm the source is intact.
Does Dependency Tree Viewer support batch processing?
Dependency Tree Viewer processes one input at a time by design — it keeps memory usage predictable on lower-end devices and makes results easier to verify. To handle a folder, run the tool once per file; the page stays loaded between runs and remembers your last-used settings, so the second run is essentially instant.
Can I use Dependency Tree Viewer offline?
Once the page is loaded, Dependency Tree Viewer can complete jobs without an active internet connection — the engine is bundled with the page, so there is no per-job network call. The initial page load does require a connection (to fetch the static assets), but after that you can disconnect entirely and the tool will still work. This is a side-effect of the local-first architecture, not a deliberate "offline mode" feature.