Frequently Asked Questions

Everything you need to know about Epochly.

Getting Started

What is Epochly?

Epochly is a drop-in Python performance overlay. Install it with pip, run your existing scripts — no code changes needed. It automatically accelerates CPU-bound workloads using JIT compilation, GPU acceleration, and multicore parallelism.

How do I install Epochly?

Run pip install epochly and then run your Python scripts as usual. Epochly activates automatically. Use epochly.stats() to see what it's doing.

Where does it run?

Linux, Windows, and macOS. x86-64 and ARM64 architectures. Python 3.9 through 3.13.

How do I disable it instantly?

Set EPOCHLY_DISABLE=1 as an environment variable, or uninstall with pip uninstall epochly. Either way, your code returns to normal Python immediately.

Safety & Correctness

Is Epochly safe for production?

Yes. Epochly uses progressive enhancement — it monitors first, optimizes only after verifying stability, and automatically falls back to standard Python if anything looks wrong. No data corruption, ever.

Will it break my code?

No. Epochly monitors first and only optimizes when safe. If issues are detected, it falls back to standard Python automatically.

What about security and compliance?

Epochly runs entirely on your infrastructure with no data exfiltration. Enterprise tier is on our roadmap and will add Epochly Sandbox for isolated execution, SSO, audit logs, and on-premise deployment.

Can I run Epochly in air-gapped environments?

Epochly runs locally with no external network requirements. Enterprise tier is on our roadmap and will include formal on-premise deployment support and compliance documentation.

What data does it collect?

Execution patterns and performance metrics for optimization. No source code or data values. Telemetry is configurable and can be disabled entirely.

Performance

How much faster will my code run?

It depends on your workload. Numerical Python loops see up to 193x speedup via JIT. Large array operations (10M+ elements) see up to 70x on GPU. Parallel CPU-bound work sees 8-12x. Workloads already optimized (vectorized NumPy, C extensions) won't see gains — Epochly detects this and yields gracefully.

How does this compare to rewriting in Rust/C++?

Epochly works today with no code changes. A rewrite can take months and requires ongoing maintenance. Many teams use Epochly to get immediate gains while evaluating longer-term options.

What workloads does Epochly NOT help with?

I/O-bound work (network, disk), already-vectorized NumPy, code already using GPU, Numba/Cython-compiled code, and sub-millisecond workloads where optimization overhead exceeds the benefit. Epochly detects these cases and stays out of the way.

Pricing & Plans

What does the free tier include?

Community tier is free forever and includes Levels 0-3 optimization (up to 4 CPU cores), basic telemetry, and community support. No GPU access.

What happens after my Pro trial ends?

After 30 days, you'll be prompted to subscribe. If you don't, your account automatically reverts to Community tier (4 cores, no GPU). No data is lost.

How do I unlock the Pro trial?

Run pip install epochly and follow the CLI prompt to enter your email. That's it — Pro features unlock immediately for 30 days.

Do I need a credit card to try Pro?

No. The trial starts with just your email. We'll only ask for payment information if you decide to subscribe after the trial.

Can I use Epochly in production?

Yes. Community tier is production-ready for workloads that fit within 4 cores. For unlimited scaling and GPU support, upgrade to Pro.

What will be included in Enterprise?

Enterprise is on our roadmap. It will include everything in Pro, plus Epochly Sandbox for secure execution, on-premise deployment, SSO/SAML, audit logs, and dedicated support. Contact us for early access.

Is there a team plan?

Pro tier supports teams. Enterprise will offer volume pricing for larger organizations — join the waitlist to be notified when it launches.

Still have questions?

We're here to help. Reach out and we'll get back to you.