If you've ever tried to answer "how many hours did I actually spend on this project last week," and come up with a number that felt more like a guess than a fact, you're not alone. Most developers don't track time by default — until a client asks for an invoice breakdown, or a sprint retro needs real numbers instead of vibes.

There are a few different ways to solve this inside PyCharm, and they land on very different points of the effort-vs-accuracy spectrum. Here's an honest rundown of the three main approaches.

Why bother tracking time in PyCharm at all

A few situations where this actually matters, rather than being busywork for its own sake:

1. You freelance or contract, and clients expect an hourly breakdown, not just a final invoice number.
2. Your team estimates sprints, and you want to know how those estimates compare to reality.
3. You're just curious where your hours actually go — how much is real coding, how much is meetings-that-eat-into-coding-blocks, how much is one cursed bug.

None of these need anything fancy. They just need numbers you can trust.

Method 1: Manual tracking

The simplest option is also the one almost everyone has tried at least once: a spreadsheet, a sticky note, or a phone timer you start when you sit down to code.

It costs nothing and takes five minutes to set up. The problem isn't the setup — it's staying consistent. You forget to start the timer after a coffee break. You forget to stop it before a meeting. Context-switching between three projects in an afternoon turns into a mess of overlapping, half-remembered entries you end up rounding to "roughly two hours, I think."

For a single small project over a single week, manual tracking is fine. Stretched over months, it quietly falls apart, and the data you end up with is closer to fiction than fact.

Method 2: General-purpose time trackers

The next step up is a dedicated time-tracking app or browser extension — Toggl Track is probably the best-known example in this category. You get a proper start/stop button, project tags, reports, and integrations with invoicing tools.

This is a real improvement over a spreadsheet — the reporting is much better, and it's built specifically for this job. But it shares the same core limitation as manual tracking: it still requires you to remember to hit start, and to remember to hit stop when you switch tasks. Toggl Track works well as a general-purpose timer, but like most tools in this category, the accuracy of your data depends entirely on your own discipline in the moment, not on the tool itself.

If you're disciplined about it, this is a solid, mature option. If you're the kind of person who forgets to stop the timer and finds an "8 hour, 40 minute" entry from a task that actually took 45 minutes, the next option probably fits better.

Method 3: Automatic tracking via an IDE plugin

The third approach removes the "remembering" part entirely. A plugin installed directly in PyCharm detects when you're actively working in a given project — typing, navigating, running code — and logs the time automatically, without a start or stop button to forget.

JustClock works this way. It runs in the background across PyCharm and the rest of the JetBrains family, tracks active project time automatically, and doesn't read your code, files, or keystrokes — just the fact that you're actively working, and on which project. For Python-specific workflows, that means time spent running tests, debugging, or working across a multi-module project all gets captured without any manual input, and it holds up over the messy reality of switching between three projects in one afternoon in a way manual timers usually don't.

The trade-off, compared to a general-purpose tool like Toggl Track, is that it's scoped specifically to your IDE — great if most of your billable or trackable work happens in code, less useful if you also need to track time in meetings, email, or other non-IDE work. Some people run both: an automatic IDE plugin for coding time, and a general timer for everything else.

Which one should you actually use

It mostly comes down to how much of your work happens inside the IDE, and how disciplined you realistically are about starting and stopping a timer:

1. Solo project, one week, low stakes: a spreadsheet or phone timer is genuinely fine. Don't overthink it.
2. Freelancing with recurring clients, invoicing regularly: a dedicated tracker like Toggl Track gives you the reporting and invoicing integration you need — as long as you trust yourself to actually use it consistently.
3. Most of your billable or measured time is spent writing code, and you've been burned by forgotten timers before: automatic tracking removes that failure point entirely. That's the gap JustClock's PyCharm integration is built to close.

Whichever you pick, the goal is the same: numbers you can actually trust when someone — a client, a teammate, or just future-you — asks where the hours went.