--- title: TestStand Alternatives for Hardware Teams description: "TestStand alternatives for teams leaving NI: list prices, Windows-only stations, binary .seq files, Nigel, a migration plan, and when to stay on TestStand." url: https://galoislabs.ai/blog/teststand-alternatives author: Alex Hernandez author_url: https://galoislabs.ai/blog/authors/alex-hernandez published: "2026-09-25" topic: Comparisons publisher: Galois Labs --- # TestStand alternatives for hardware teams: open source, Python, and agents ![A compact data-acquisition chassis seen from above, four I/O modules seated and one screw-terminal block lifted off.](https://galoislabs.ai/blog/figures/ni-2.light.webp) *FIG. 1 — DAQ CHASSIS, TERMINAL BLOCK LIFTED* The main TestStand alternatives are OpenHTF (Python, Apache-2.0), OpenTAP (C# on .NET, MPL-2.0) and Keysight's PathWave Test Automation built on it, a pytest and PyVISA harness you assemble yourself, and agent-driven platforms such as Galois. Choose by the language your team writes, the operating system your stations run, and the evidence every run has to leave behind. TestStand is still a strong production executive, and for many lines it remains the right call. The last section says when. > **Disclosure** > > We build Galois, one of the options compared here. Galois is agent-driven test engineering for hardware teams: agents generate tests and instrument drivers, run them on real benches through the open-source galois-edge daemon, and turn the results into reports and a shared engineering record. Claims about other tools link to their own documentation. ## What TestStand does well NI describes TestStand as an environment where you "drag and drop to add and reorganize test steps" and add conditional logic ([NI, What is TestStand](https://www.ni.com/en/shop/electronic-test-instrumentation/application-software-for-electronic-test-and-instrumentation-category/what-is-teststand.html)). What matters on a production line goes beyond the editor: - **Code modules in the languages you have.** Adapters call LabVIEW, C/C++, .NET, and Python code, so existing modules are reused. - **Process models.** A process model is a sequence file that defines the standard operations around every test, so you do not re-implement them in each sequence. TestStand ships Sequential, Parallel, and Batch models: Sequential tests one UUT at a time; Parallel and Batch run the same sequence on multiple UUTs at once ([NI docs](https://www.ni.com/docs/en-US/bundle/teststand/page/teststand-process-models.html)). You can modify them or write your own, so site conventions live in one place. - **Operator interfaces** "to simplify execution for technicians," separate from the developer editor. - **Reports and databases.** Reports in HTML, XML, ATML, and ASCII text, and results logged to local or network databases. - **Deployment and scheduling.** Sequences are packaged "for deployment to your entire fleet of testers," and auto-scheduling starts steps once shared equipment is free. That stack is what an alternative has to replace. Each option below covers a different subset, and the gaps are where migration effort goes. ## How much does TestStand cost, and does it run on Linux? US list price on ni.com, read October 5, 2026: | License | Price | NI part number | | --------------------------------------------------------------- | -------------------------- | -------------- | | TestStand Development subscription | $2,428 a year | 788372-35 | | TestStand Base Deployment, per station | $857 one-time, perpetual | 777774-35 | | TestStand Debug Deployment, per station | $3,252 one-time, perpetual | 779851-35 | | LabVIEW+ Suite (LabVIEW Professional and TestStand Development) | $4,239 a year | 788509-35 | (Source: [NI TestStand, ni.com US store](https://www.ni.com/en-us/shop/product/teststand.html)) (Source: [LabVIEW editions, ni.com](https://www.ni.com/en/shop/labview/select-edition.html)) At list, two developers and ten Base Deployment stations come to $4,856 a year plus $8,570 one-time, before LabVIEW, drivers, or hardware. Bought separately, LabVIEW Professional ($2,805) and TestStand Development are $5,233 a year per seat; the suite is the cheaper way to get both. **TestStand runs on Windows only.** NI's download page lists Windows as the supported operating system for every version through the current 2026 Q3 release ([NI download](https://www.ni.com/en/support/downloads/software-products/download.teststand.html)), and NI's compatibility table lists Windows 10 and 11 for 2024 Q4 through 2026 Q1 ([NI compatibility](https://www.ni.com/en/support/documentation/compatibility/18/teststand-and-windows-os-compatibility.html)). NI lists no Linux or macOS support, so Linux stations, single-board computers, and containers need a different executive. **Sequence files come in three formats.** A `.seq` file can be binary, XML, or INI. NI recommends binary "for the fastest load times," XML "only if the file must be viewable in applications without access to the TestStand engine," and INI only for TestStand 3.x compatibility ([NI, improving TestStand performance](https://www.ni.com/en/support/documentation/supplemental/08/improving-teststand-system-performance.html)). Binary sequences can live in Git but cannot be reviewed line by line. ## NI Nigel: NI's agent inside TestStand Before leaving TestStand to get agents, check what NI ships. Nigel is NI's agent: an Azure OpenAI model, user-selectable, over NI's product documentation plus your open project and connected hardware. NI announced it at NI Connect on April 29, 2025 ([NI, Meet Nigel](https://www.ni.com/en/perspectives/meet-nigel-ni-new-ai-advisor.html)) and shipped it on July 22, 2025 with LabVIEW and TestStand 2025 Q3, as an advisor. The 2026 Q3 releases, in July 2026, added generation: "In TestStand 2026 Q3, Nigel can create sequences using a specifications document that you provide," and LabVIEW 2026 Q3 creates VIs from a prompt. Nigel can also start, stop, pause, and resume a TestStand run. In-product actions ask for confirmation, and LabVIEW+ adds MCP tool connections. Access requires "a valid license for the NI software and an active software service agreement" ([NI, Nigel](https://www.ni.com/en/shop/software-portfolio/nigel.html)). Usage is metered in requests per week, shared across NI's desktop products, and NI does not publish the number ([NI docs, using Nigel](https://www.ni.com/docs/en-US/bundle/labview/page/using-nigel-ai.html)). If your sequences and operators are staying on TestStand, Nigel is the agent path that needs no migration. ## TestStand alternatives compared | Tool | License | Language | Sequence format | Instrument layer | Evidence and reports | Best for | | ------------------------ | ----------------------------------------------- | ----------------------------------------- | -------------------------------- | --------------------------------- | ---------------------------------------------------------- | ---------------------------------------------------------------------- | | NI TestStand | Commercial, per developer and per station | LabVIEW, C/C++, .NET, Python code modules | `.seq`: binary, XML, or INI | Code modules calling your drivers | HTML, XML, ATML, and text reports; database logging | Windows lines standardized on NI | | OpenHTF | Apache-2.0 | Python | Python test scripts | Plugs you write | Test record with measurements and attachments; JSON output | Python teams that want a code-first framework | | OpenTAP | MPL-2.0 | C# on .NET; Python plugin | XML test plans (`.TapPlan`) | Instrument and DUT plugins | Result listener plugins | Teams that want an open sequencer with a plugin model | | PathWave Test Automation | Commercial, by quote; no-cost Community License | C# or Python (OpenTAP plugins) | OpenTAP test plans | OpenTAP plugins | Result viewer, timing analyzer | OpenTAP users who want Keysight's tools and support | | pytest + PyVISA | MIT (both) | Python | Python test files | PyVISA over a VISA backend | JUnit XML; the rest you build | Small teams and CI-style bench tests | | Galois | Apache-2.0 daemon; commercial platform | Python SDK, PyVISA backend, MCP | Versioned sequences, typed steps | 573 instrument profiles | Per-step record; generated reports | Teams that want agents to write and run tests with a reviewable record | [OpenHTF vs OpenTAP vs pytest vs TestStand](https://galoislabs.ai/blog/test-executive-comparison) compares the four executives' test models side by side, with code for each. ## OpenHTF: open-source Python test framework OpenHTF (Apache-2.0, [google/openhtf](https://github.com/google/openhtf)) maps onto TestStand closely. A test is a Python program and phases are its steps. Measurements carry their own limits, plugs wrap the DUT and instruments, and output callbacks write the record. **Strengths.** Tests are plain Python that diff and review like any code, with limits next to the measurement they judge. It installs with `pip install openhtf` and needs no Windows. **Gaps.** Bench-instrument plugs, database logging and station deployment are yours to build. [OpenHTF vs OpenTAP vs pytest vs TestStand](https://galoislabs.ai/blog/test-executive-comparison) has a complete OpenHTF test with PyVISA plugs, the bundled plugs and callbacks, and the current release status. ## OpenTAP: open-source test sequencer on .NET OpenTAP (MPL-2.0, [opentap/opentap](https://github.com/opentap/opentap)) is the closest open-source match to TestStand's shape. It has XML test plans (`.TapPlan`) of test steps, instruments and DUTs as resources, result listeners for reports and databases, and plugins in versioned packages ([user guide](https://doc.opentap.io/User%20Guide/Introduction/Readme.html)). It installs on Windows, Linux, and macOS, with Docker images, and [version 9.35](https://opentap.io/downloads) shipped in September 2026. **Strengths.** A real sequencer with resources, result processing, and packaging under an open-source license, runnable headless on Linux. Test plans are XML, so they diff. The [OpenTAP Python plugin](https://github.com/opentap/OpenTap.Python) (Apache-2.0) exposes "the full OpenTAP API" to Python. MPL-2.0 is file-level copyleft: changes you distribute to OpenTAP's own files stay open; plugins in your own files need not. **Gaps.** The native language is C#, so a LabVIEW team learns .NET or works through the Python plugin. The graphical editor and result viewer are not in the open-source repo; the README points to the Developer's System, "provided by Keysight Technologies." It runs under a commercial or a no-cost community license ([OpenTAP editors](https://github.com/opentap/opentap/blob/main/doc/User%20Guide/Editors/Readme.md)). Operator interfaces, report formats, and database schemas are plugins you find or write. The [test executive comparison](https://galoislabs.ai/blog/test-executive-comparison) shows a C# step and the bundled result listeners. ## Keysight PathWave Test Automation: OpenTAP with Keysight's tools PathWave Test Automation "leverages OpenTAP open source test automation sequencing engine" and adds graphical test plan development plus a "timing analyzer, result viewer, and other useful tools" ([Keysight](https://www.keysight.com/us/en/products/software/pathwave-test-software/pathwave-test-automation-software.html)). It comes as KS8400B, a sequencer with development tools; KS8500B, a cloud suite to "create, collaborate, deploy and monitor at scale"; and KS8000B, the deployment runtime. The product page publishes no price. Since version 9.29.2, the KS8400B Developer's System can also run under a Community License, "fully featured and at no-cost (but without support or warranty from Keysight)," which requires an OpenTAP Community account, an active internet connection, and opting in to telemetry ([Keysight download page](https://www.keysight.com/us/en/lib/software-detail/computer-software/pathwave-test-automation-2796935.html)). **Strengths.** A supported vendor product on an open engine: a team can start on the open-source core and add Keysight's tools later. **Gaps.** Commercial licenses are quote-based, and the no-cost Community License comes without Keysight support or warranty and needs a connected bench with telemetry opted in. Plugin development is still yours in C# or Python. Our [Keysight comparison](https://galoislabs.ai/compare/keysight) and [PathWave Test Automation alternatives](https://galoislabs.ai/blog/pathwave-test-automation-alternatives) cover the rest. Keysight also ships its MCP Server for Instrument Control, labeled beta, under a no-cost perpetual floating license ([Keysight software page](https://www.keysight.com/us/en/lib/software-detail/computer-software/keysight-mcp-server-for-instrument-control.html)). It connects a third-party AI client such as Claude Code or GitHub Copilot to Keysight instruments on its supported list, and the engineer approves each command sequence before it runs ([overview](https://helpfiles.keysight.com/kmsic/English/keysight_mcp_for_instrument_control/Content/overview.html)). It runs on Windows 10 or 11, and session state is held in memory and cleared on restart ([release notes](https://helpfiles.keysight.com/kmsic/English/keysight_mcp_for_instrument_control/Content/release-notes.html)). ## pytest and PyVISA: a do-it-yourself test executive Both are MIT-licensed. pytest fixtures open and close instruments, parametrize runs sweeps, and `--junit-xml` writes a file CI servers read ([pytest docs](https://docs.pytest.org/en/stable/how-to/output.html)). PyVISA reaches instruments over GPIB, RS232 or USB on NI-VISA, Keysight VISA or the pure-Python PyVISA-py ([pyvisa/pyvisa](https://github.com/pyvisa/pyvisa)). For driver libraries on top of PyVISA, see [open-source instrument control software, compared](https://galoislabs.ai/blog/open-source-instrument-control). The [test executive comparison](https://galoislabs.ai/blog/test-executive-comparison) has a full harness with instrument fixtures, a DUT-serial option and JUnit output. **Strengths.** Nothing to license, and it is the language hiring managers ask for: in our study of 1,021 full-text hardware-test job postings, 54.8% named Python and 1.0% named TestStand ([hiring study](https://galoislabs.ai/blog/hardware-test-hiring-study)). Tests can run in the same CI as firmware ([hardware tests in CI](https://galoislabs.ai/blog/hardware-tests-in-ci)). **Gaps.** pytest's unit is a test function that passes or fails. Units, limits, UUT serial, operator, and instrument identity are fields you add yourself. There is no operator interface, no station deployment, and no control over which test version may run on the line. Across a production line, the harness tends to grow into an in-house executive someone has to maintain. ## Galois: agent-driven test engineering Évariste, the agent in the Galois platform, writes the sequences and instrument drivers, and 573 instrument profiles ship today. Sequences are built from typed steps (Numeric Limit, String Value, Pass/Fail, Action, Measure, Wait, Loop, Condition, Sequence Call), with six limit comparison operators (GELE, GELT, GTLE, GTLT, EQ, NE). Every sequence has version history, diffs, and production locking. A sequence Évariste drafts cannot run until an engineer approves it, and an approved sequence that is edited must be approved again. The [AI test automation essay](https://galoislabs.ai/blog/ai-test-automation-hardware) covers how agent authoring fits review. ![Galois sequence builder showing a version 2, production-locked sequence: each step names an instrument, a profile command, and a Pass/Fail or Numeric Limit check. Demo data.](https://galoislabs.ai/blog/teststand-alternatives/sequence-builder-light.webp) *FIG. 2 — Sequence builder, production locked (demo data)* Every step records the measured value, limits, pass/fail result, raw command and response, instrument, operator, DUT serial, and timestamps. A PDF or HTML test report is generated from the run and stays editable in the report editor ([product](https://galoislabs.ai/product)). ![A failed Galois test run: run details (sequence, serial number, operator, duration) above a step table with measured values, limits, units, and per-step PASSED or FAILED status. Demo data.](https://galoislabs.ai/blog/teststand-alternatives/run-evidence-light.webp) *FIG. 3 — Run record with limits (demo data)* On the bench, the Apache-2.0 galois-edge daemon ships frozen builds for Linux (x86_64 and arm64) and Windows. It discovers instruments on GPIB, USB, LAN, serial, Modbus, and CAN, also speaks OPC UA, I2C, and SPI, and proxies vendor Python SDKs, NI's included. It exposes each connected instrument as typed MCP tools, updates the tool list on hot-plug, and runs sweeps and streams on the daemon, so a dropped agent session does not strand hardware mid-ramp ([docs](https://docs.galoislabs.ai/agents/)). PyVISA scripts switch with one line, `ResourceManager("@galois")`. The platform runs as Galois Cloud, a dedicated single-tenant cloud, or fully on-prem and air-gapped, with Évariste routed to the LLM endpoint you choose in every case ([deployment](https://galoislabs.ai/deployment)). **Migration cost.** Moving from TestStand means rebuilding `.seq` files and process-model callbacks as Galois sequences. Évariste drafts that work, and an engineer reviews each result. Galois is also a younger product than TestStand, without its years of field use. ## How to migrate off TestStand 1. **Inventory the process model.** List every overridden callback (PreUUT, PostUUT, report and database callbacks), custom step type, and station global. Each becomes explicit code or configuration: output callbacks in OpenHTF, result listeners in OpenTAP, fixtures and hooks in `conftest.py`, or run-record fields in Galois. 2. **Decide what happens to code modules.** Python modules move as they are. C, C++, and .NET libraries can be called from Python or C#. LabVIEW VIs are rewritten or kept in their current environment during a transition; see the [LabVIEW to Python migration plan](https://galoislabs.ai/blog/labview-to-python-migration). 3. **Rebuild the operator interface before cutover.** Write down what operators touch: serial entry, start and abort, pass/fail display, retest. OpenHTF has a web frontend; pytest has none; Galois runs sequences from the browser and records operator and DUT serial on every run. 4. **Replace station deployment.** TestStand pairs deployment packaging with a per-station license. The alternatives use Python packaging, OpenTAP's package manager or Docker images, or Galois's daemon installers with approved sequence versions deciding what runs. 5. **Map downstream consumers.** MES integrations, yield dashboards, and customers that parse ATML or your database schema need the same fields from the new system. If results also feed a telemetry platform, [hardware test data platforms](https://galoislabs.ai/blog/hardware-test-data-platforms) compares Nominal, Sift and Synnax. 6. **Run both executives on the same units.** Compare a known-good and a known-bad unit, measurement by measurement, before retiring anything. If Galois is the target, rebuild each sequence in conversation with Évariste. Open it from the app sidebar (Ctrl+Shift+E) beside a project and ask "List connected instruments" to confirm the station's instruments are reachable through galois-edge. Then state one TestStand sequence's objective in plain English with the limits copied from its Numeric Limit steps, for example "Sweep load 0-100% and measure regulation; pass if the 5 V output stays within 4.95 to 5.05 V" when that is the band the old sequence's Numeric Limit steps enforced. Évariste drafts a versioned sequence of typed steps, and it stays a draft until an engineer reviews and approves it. For an instrument with no profile, upload its programming manual and review the profile Évariste generates before it is deployed to the edge and bound to the instrument. Step code, logging and report callbacks are what you stop writing; the limits, the review and approval, fixture wiring, and confirming any dangerous command stay your job. For step 6, ask Évariste to read each Galois run and point out steps that failed or passed close to a limit, then check those against the TestStand results. ## When to stay on TestStand Stay when switching costs more than it returns: - **Your Windows stations work.** If process-model customizations, Parallel or Batch testing, and operator interfaces are tuned and stable, rewriting them buys little. - **Your code modules are mostly LabVIEW** and your team is fluent in it. - **Downstream systems parse TestStand output.** Changing MES or customer pipelines can cost more than the licenses. - **Your deployment licenses are paid.** Base Deployment is one-time and perpetual, so on an established line the recurring cost is development seats. - **You want an agent, not a migration.** Nigel runs inside TestStand and now generates sequences from a specification. - **Your validation package is built around the current system** and re-validating would cost more than a new executive saves. If none of those hold, start where your team already works: OpenHTF or pytest for Python, OpenTAP for .NET, Galois for tests that Évariste writes and runs with a record attached. The [TestStand comparison](https://galoislabs.ai/compare/teststand) and [National Instruments comparison](https://galoislabs.ai/compare/national-instruments) go line by line. ## Frequently asked questions ### What is the best open-source alternative to TestStand? It depends on the language your team writes. OpenTAP (MPL-2.0, C# on .NET, with a Python plugin) is closest in shape to TestStand: a sequencer with XML test plans, instrument and DUT resources, and result listeners. OpenHTF (Apache-2.0) is the Python choice: tests are Python programs built from phases, measurements with limits, and plugs. pytest with PyVISA is the do-it-yourself route. ### Does TestStand run on Linux? No. NI's download page lists Windows as the only supported operating system for TestStand, including the 2026 Q3 release, and NI's compatibility table lists Windows 10 and Windows 11 for recent versions. Linux stations need a different executive, such as OpenTAP, OpenHTF, a pytest harness, or Galois, whose galois-edge daemon ships Linux builds. ### Can OpenHTF replace TestStand? For Python teams it can replace the test logic: phases, measurements with pass/fail limits, hardware plugs, and a JSON test record. Its bundled plugs and output callbacks do not include bench-instrument drivers or database logging, and there is no deployment utility, so those are yours to build. Teams that rely on TestStand's Parallel or Batch process models should scope that work before switching. ### How much does TestStand cost? At NI's US list prices in October 2026, the TestStand Development subscription is $2,428 a year, Base Deployment is $857 per station one-time, and Debug Deployment is $3,252 per station one-time. The LabVIEW+ Suite, which includes TestStand and LabVIEW Professional, is $4,239 a year. Check ni.com for current prices.