JetBrains dotMemory vs Scalene
JetBrains dotMemory
jetbrains.comScalene
github.comSide by side
| Figure | JetBrains dotMemory | Scalene |
|---|---|---|
| Price from | $50.75/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 2 | 1 |
| Spec score · Profiling Software | 8.2 (#4) | 7.6 (#17) |
| Memory analysis | The tool compares snapshots, shows object relationships and retention, and analyzes allocations and garbage collection traffic. | It reports per-line memory use, distinguishes Python from native allocations, and identifies lines with likely memory leaks. |
| Purpose | dotMemory profiles .NET application memory to help investigate leaks, memory use, garbage collection, and allocation patterns. | Scalene profiles Python programs for CPU, GPU, and memory use and provides AI-powered optimization proposals. |
| Support | JetBrains directs users to its technical support, community forum, and bug and issue tracker for product help and feedback. | The project links to a Scalene community Slack for community discussion. |
Plans
JetBrains dotMemory
- dotUltimate — Individual$609 a year
- All Products Pack — Individual$979 a year
In their own words
JetBrains dotMemory
JetBrains dotMemory has no write-up on Specifiction yet; its figures are above.
Scalene
Scalene is a free, open-source profiler for Python programs that reports CPU, GPU and memory use and offers AI-powered optimization proposals. Its line- and function-level reports separate Python time from native-code and system time. Memory analysis shows per-line use, distinguishes Python from native allocations and flags lines with likely memory leaks. GPU profiling reports time on NVIDIA-based systems. Async profiling attributes wall-clock await time to the suspended coroutine line and reports mean and peak concurrent waiters. Its graphical interface can display stitched Python and native call stacks, memory flame charts and a timeline. Scalene is usable from the command line, a web-based GUI, a Visual Studio Code extension or Jupyter notebooks. The web interface processes profiles locally and works offline. For optimization suggestions, listed AI providers include Amazon Bedrock, Microsoft Azure, OpenAI and local models through Ollama. The project reports typical profiling overhead of no more than 10–20%, often less. Scalene is available for free under the Apache-2.0 license, with installations listed for macOS, Linux, Windows and Windows Subsystem for Linux 2.