GITNUXSOFTWARE ADVICE
MediaTop 10 Best Star Stacking Software of 2026
Top 10 star stacking software for astrophotography with technical comparisons, including Siril and PixInsight, plus AstroSurface ranking notes.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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AstroSurface is the best bet if you need automated star-and-background separation across many calibrated frames, whereas Siril is the smoother no-code batch stacker for repeatable results and PixInsight fits when you want tightly controlled, parameter-driven star blending.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
AstroSurface
Star mask generation and star-aware synthesis drive both alignment behavior and final halo control.
Built for fits when automated star-and-background separation is needed across many calibrated light frames..
Siril
Editor pickCommand scripting and command history support repeatable, parameterized star stacking runs across datasets.
Built for fits when repeatable star stacking batches are needed with minimal coding and adjustable control..
PixInsight
Editor pickStar mask driven separation lets extracted stars be blended with the base image using explicit rejection and blending controls.
Built for fits when astrophotographers need repeatable, parameter-controlled star blending across many datasets..
Comparison Table
AstroSurface
vertical specialistAstrophotography processing software with stacking, alignment, wavelet sharpening, and planetary image tools.
Star mask generation and star-aware synthesis drive both alignment behavior and final halo control.
AstroSurface focuses on a workflow that starts with calibrated lights, then runs star detection and generates star masks used during alignment and stacking. It adds options for background handling and output control so stacked results keep dynamic range rather than flattening contrast. Export supports 16-bit TIFF and FITS intermediates, which helps when continuing processing in Siril or PixInsight.
A key tradeoff is that automation choices like star mask sensitivity and registration behavior can require iteration to match different star sizes and sky densities. AstroSurface fits best when stacking many similar subframes from one session, especially when dithering is present and a clean star-and-background separation is the priority.
- +Star-mask driven stacking reduces halos while keeping tight star cores
- +Works directly with FITS workflows and preserves 16-bit output detail
- +Comet-to-star mode helps when targets include point-like and extended motion
- +Batch-style stacking reduces manual repetition across large subframe sets
- –Star detection thresholds can need tuning for crowded fields
- –Advanced alignment control is less explicit than PixInsight process nodes
- –Some background correction steps feel less granular than Siril pipelines
- –Workflow depends on clean calibration frames for best results
Amateur astrophotographers
Stacking dithered nights with clean stars
Sharper stars, less halo drag
Deep-sky imaging hobbyists
Comet targets with mixed motion
Readable stars and structured motion
Show 1 more scenario
Siril and PixInsight users
Preprocessing before deeper refinement
Cleaner downstream refinement inputs
High-bit-depth export keeps gradients and noise characteristics usable in later Siril or PixInsight steps.
Best for: Fits when automated star-and-background separation is needed across many calibrated light frames.
Siril
vertical specialistOpen-source astrophotography processing suite that performs image registration, calibration, and stacking across Windows, macOS, and Linux.
Command scripting and command history support repeatable, parameterized star stacking runs across datasets.
Siril handles the end-to-end flow from FITS input through master frame building and light frame registration, then finishes with image integration suitable for star work. The star mask generation tools help keep highlight regions distinct during stacking, and the workflow can be automated by recording operations as commands. Siril also provides comet stacking mode for workflows that separate fast-moving targets from fixed stars, which matters for mixed astrophotography sessions.
A concrete tradeoff is that Siril’s star-centric tuning usually requires more manual parameter attention than fully guided pipelines, especially when star detection thresholds need adjustment per dataset. Siril fits best when repeating similar projects across nights using a consistent setup for calibration frames, alignment point selection, and batch scripting.
- +Command scripts make repeatable star stacking workflows practical
- +Star mask generation supports star-preserving integrations
- +Comet stacking mode separates moving targets from fixed stars
- +FITS-oriented pipeline supports calibration to integrated masters
- –Star detection threshold tuning often needs dataset-specific adjustment
- –Less automation depth than integration-focused stacks for large pipelines
- –Batch results still depend on consistent calibration quality
- –UI workflows can feel segmented between calibration and alignment steps
Astrophotography hobbyists
Stack varying sessions into consistent masters
Fewer manual repetitions, consistent results
Imaging technicians
Process large FITS sets in batches
Higher throughput across projects
Show 2 more scenarios
Comet and deep-sky shooters
Separate comet trails from starfield
Cleaner combined comet outputs
Run comet stacking mode so moving targets and stars can be handled differently in one workflow.
Multi-night imaging teams
Maintain alignment consistency across repeats
More stable registration, better detail
Lock alignment point selection logic and reuse scripts to reduce drift between sessions.
Best for: Fits when repeatable star stacking batches are needed with minimal coding and adjustable control.
PixInsight
vertical specialistAdvanced astrophotography image processing platform with a dedicated ImageIntegration process for stacking calibrated light frames.
Star mask driven separation lets extracted stars be blended with the base image using explicit rejection and blending controls.
PixInsight provides a deep set of image-processing modules designed for astrophotography pipelines, including light frame registration, sub-pixel alignment, and robust stacking controls. Star-focused workflows can be built by generating star masks, running star detection threshold tuning to shape which pixels become star candidates, then using those masks for star-only extraction and blending. The same environment can handle calibration integration, background gradient removal, and final noise reduction, which reduces context switching across tools.
The main tradeoff is that PixInsight requires a heavier learning curve than simpler star-stacking editors because parameters like alignment settings and rejection behavior are explicit. PixInsight fits best when a workflow needs repeatable quality across many subframes, such as deep-sky projects with consistent calibration frames and careful star mask refinement before integration.
- +Entropy-based registration with sub-pixel alignment controls star matching
- +Star mask driven workflows enable consistent star-only extraction and blending
- +Background correction and nonlinear processing stay inside the same module ecosystem
- +Fine rejection control supports stable results across varying subframe quality
- –Parameter density slows setup for straightforward star-only blends
- –Automation needs scripting effort rather than a simple star-stacking batch UI
- –Mask refinement is iterative and can be time-consuming on crowded fields
- –GPU use is not universal across modules, which can limit throughput
Astrophotography power users
Star-only extraction from deep subframes
Cleaner stars with fewer artifacts
Advanced imagers processing mosaics
Controlled registration before star blending
Reduced mismatch between tiles
Show 1 more scenario
Workflow automation focused users
Batch processing with repeatable parameters
Lower manual intervention
Scripting can apply the same stacking and star-mask settings across projects.
Best for: Fits when astrophotographers need repeatable, parameter-controlled star blending across many datasets.
Nebulosity
vertical specialistImage capture and processing application from Stark Labs that includes calibration, alignment, and stacking of FITS and DSLR frames.
Comet stacking modes that provide separate star motion and non-stellar motion handling with controllable blending.
Nebulosity from Stark Labs targets astrophotography workflows with a focus on practical acquisition and stacked-results review. The software supports light frame registration, star detection and star-based alignment, and stacking with common rejection behaviors used in deep-sky processing.
Its workflow emphasizes interactive parameter tuning during alignment and output generation in FITS and common image formats. Nebulosity is also used for comet-oriented stacking styles where star and non-stellar motion are handled with separate blending approaches.
- +Interactive star-based registration tuning during alignment and stacking
- +Good handling for comet-to-star blending workflows and motion-aware stacking
- +FITS-centric processing that preserves working data formats
- +Practical acquisition and review loop for capture-to-stack workflows
- –Less automation depth than workflow-first tools with scripting and batch pipelines
- –Limited modern extensibility compared with scriptable processing suites
- –Sub-pixel registration controls can require careful manual parameter work
- –Mosaic stitching tools are not as comprehensive as in dedicated wide-field stacks
Best for: Fits when an interactive star-alignment workflow is preferred and comet-to-star blending is frequently needed.
RegiStax
vertical specialistFree image stacking and wavelet processing software for planetary, lunar, and solar astrophotography.
Focused alignment refinement driven by star detection and adjustable alignment points in the same interactive session.
RegiStax stacks astrophotography captures by aligning and combining frames with interactive controls for star selection and refinement. It supports sigma-clipping style rejection during stacking and can generate star masks to guide alignment and contrast.
The workflow is centered on sorting, previewing, and re-running alignment and stacking parameters on the same dataset. RegiStax is a strong fit for users who want detailed visual control over alignment points rather than fully automated batch pipelines.
- +Interactive alignment point selection with immediate visual feedback
- +Stacking supports frame rejection to reduce transient noise and outliers
- +Star mask guidance helps isolate stars during alignment and refinement
- +Workflow keeps iterations tight by reusing the same loaded dataset
- –Batch automation and API surface are limited compared with pipeline tools
- –Complex parameter tuning can take multiple preview and re-run cycles
- –Workflow centers on stars and can struggle with non-stellar targets
- –Large datasets can feel slow during repeated refinement previews
Best for: Fits when precise, visual control over star alignment points matters more than hands-off batch processing.
Astroart
vertical specialistCommercial astrophotography processing suite with image stacking, calibration, and photometry modules.
Comet stacking workflow that blends comet and star components with mode-specific handling.
Astroart is a star-stacking workflow tool for astrophotography that focuses on registration, rejection, and compositing around star detection and mask-based blending. It supports end-to-end processing from calibrated light frames through final stacked output, with controls for alignment behavior, outlier rejection, and background handling.
The workflow is built around stacking modes aimed at different targets, including comet-related compositing. It outputs common astro formats for further finishing in external editors when needed.
- +Star-mask workflow helps reduce edge artifacts during blending
- +Comet-focused stacking mode supports comet-to-star style results
- +Alignment tools offer manual control over point selection behavior
- +Rejection controls support iterative tuning across batches
- –Registration outcomes can be sensitive to star detection threshold settings
- –Automation is limited, and large unattended batches require manual setup effort
Best for: Fits when single-user astrophotography workflows need controlled star-based alignment and targeted comet stacking.
SharpCap
vertical specialistAstrophotography capture application with real-time live stacking for deep-sky imaging.
Integrated capture-to-stack loop with continuous star detection and incremental stacking in one application window.
SharpCap blends real-time capture and star stacking workflow in one Windows desktop app, which reduces handoffs between imaging and stacking. Its star detection and registration pipeline is designed to work directly from captured frames, supporting incremental stacking while monitoring quality.
The tool also supports dark frame subtraction workflows and common FITS outputs used in astrophotography post-processing. For star-stacking sessions where focus, frame selection, and early quality checks must happen continuously, SharpCap fits the workflow without exporting to a separate package.
- +Live star detection and stacking during capture reduces export and re-import steps
- +Frame quality monitoring helps reject bad frames before final stack builds
- +Supports common calibration workflows like dark frame subtraction in the imaging flow
- +FITS outputs support downstream editing in tools like Siril and PixInsight
- –Star detection thresholds and star mask tuning can require repeated trial adjustments
- –Stacking control depth is thinner than PixInsight’s dedicated registration and normalization tools
Best for: Fits when live quality checks and capture-to-stack continuity matter more than multi-stage processing control.
Adobe Photoshop
enterpriseIndustry-standard image editor with stack-mode blending for star trail and deep-sky image combination.
Non-destructive adjustment layers and mask workflows for refining star halos and background gradients after external stacking.
Adobe Photoshop supports astrophotography workflows through its mature layer engine, non-destructive adjustment layers, and precision selection tools. Star stacking for astrophotography typically depends on alignment and blending automation, and Photoshop lacks dedicated, end-to-end stacking automation like specialized stackers provide.
The tool can handle 16-bit TIFF workflows and advanced masking for star removal and compositing, but throughput and repeatability depend on manual actions, scripts, or external batch pipelines. For consistent stacking results, users often pair Photoshop with a dedicated registration or stacking step and then use Photoshop for finishing and retouching.
- +Layer-based star masking and compositing with pixel-accurate brush controls
- +16-bit TIFF workflows with adjustment layers for non-destructive finishing
- +Scriptable actions and batch processing for repeatable edit steps
- +Wide format handling for moving from FITS-derived exports to editing
- –No built-in astrophotography star alignment and sigma-clipping stacking workflow
- –Manual registration and blending limits throughput for large sub counts
- –Star mask generation requires custom work instead of automated detection pipelines
- –Comet-to-star style stacking and mosaic stitching require manual strategy
Best for: Fits when a pipeline already stacks and registers frames, then needs masking and visual finishing.
RegiStar
vertical specialistPaid Windows application for aligning and combining astronomical images from multiple frames.
Star detection driven registration tuned for repeatable alignment across many light frames without custom scripting.
RegiStar performs star detection, alignment, and stacked image output for astrophotography workflows using FITS inputs. The tool focuses on repeatable registration for large sub sets, with star-based alignment controls and batch-style processing to reduce manual reruns.
It also provides masking and background handling steps that fit common light frame registration pipelines. For projects that rely on consistent star identification rather than heavy scripting, RegiStar targets fast iteration over fully automated end to end control.
- +Star-based alignment with practical controls for difficult frames
- +Batch oriented workflow reduces repetitive registration work
- +FITS input and output fit standard astrophotography pipelines
- +Star mask and background handling steps support cleaner stacks
- –Less depth for advanced, multi-stage automation than scripted workflows
- –Comet-specific modes are limited compared with specialized stacking tools
- –Workflow strength depends on star quality and consistent field capture
- –Handling mosaics requires additional manual coordination
Best for: Fits when visual feedback alignment tuning matters and FITS-based stacking needs to stay repeatable.
AutoStakkert!
vertical specialistPlanetary imaging software that aligns and stacks video frames using quality analysis and alignment points.
Star detection-driven frame ranking with adjustable alignment point selection for per-frame sharpness prioritization.
AutoStakkert! targets star-focused stacking workflows for astrophotography with an aging but still widely used alignment and selection pipeline. It assigns a stack of sharpness-weighted frames from star detection and alignment points, then outputs stacked FITS images for downstream processing.
Its feature set is intentionally narrower than modern general-purpose astro pipelines, which reduces configuration overhead for experienced users. Compared with Siril and PixInsight, it centers on fast, repeatable star mask generation and frame ranking rather than full calibration and batch graphs.
- +Stable star-based frame selection that favors sharp frames consistently
- +Fast throughput for large frame sets using a straightforward alignment workflow
- +Straightforward FITS-centric output for feeding calibration and tone steps
- +Predictable controls for alignment point placement and stack percent selection
- –Limited automation and graph-style batch control versus PixInsight
- –Comet and trail workflows are weaker than dedicated comet-specific tools
- –Minimal integration surface for pipeline automation across software ecosystems
- –Background handling and gradient strategies require external steps
Best for: Fits when star-aligned stacking needs fast, repeatable quality selection without full pipeline orchestration.
Conclusion
After evaluating 10 media, AstroSurface stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right star stacking software
AstroSurface, Siril, PixInsight, Nebulosity, RegiStax, Astroart, SharpCap, Adobe Photoshop, RegiStar, and AutoStakkert! cover star stacking through different control styles, from star mask synthesis to interactive alignment tuning.
This buyer's guide focuses on how each star stacking software handles star detection thresholds, star mask generation, and stacking orchestration across FITS and 16-bit TIFF outputs. Attention also goes to how AstroSurface and PixInsight implement star-aware separation and blending behavior, then how Siril and AutoStakkert! support repeatable batch runs with command-driven or frame-ranking workflows.
Star stacking software for astrophotography alignment, star masks, and rejection blending
Star stacking software aligns and combines many calibrated light frames by using star detection, star mask generation, and blending or rejection controls to reduce halos and transient artifacts. AstroSurface emphasizes star-mask-driven synthesis that keeps tight star cores while suppressing halo formation, and it preserves 16-bit output detail through FITS workflows.
Siril and PixInsight also use star masks, but Siril focuses on command scripting and command history so star stacking batches can be parameterized and repeated across datasets. PixInsight shifts emphasis to entropy-based registration with sub-pixel alignment controls, then uses explicit star mask driven separation with rejection and blending parameters for consistent star-only extraction and blending.
Star stacking criteria that change alignment, halos, and repeatability
Star stacking software quality shows up in how star detection threshold tuning maps to star masks and then into halo behavior after blending or rejection. Tools that drive separation through star masks can preserve tight star cores while reducing edge artifacts from halos and background seams.
Repeatability matters for astrophotography sessions with consistent camera and filter setups. Command scripting and explicit alignment controls help standardize star matching and frame rejection so the same dataset produces stable results across nights.
Star mask generation that drives star-aware synthesis
AstroSurface generates star masks and uses them to steer star-aware synthesis that suppresses halos while preserving tight cores in FITS workflows. PixInsight uses star mask driven separation with explicit rejection and blending controls to keep star-only extraction behavior consistent across datasets.
Registration engine and sub-pixel alignment behavior
PixInsight applies entropy-based registration with sub-pixel alignment controls for accurate star matching before blending. RegiStax focuses on an interactive alignment refinement loop with adjustable alignment points inside the same session.
Batch automation surface for parameterized stacking runs
Siril supports command scripting and command history so star stacking batches run repeatably with adjustable control parameters. AutoStakkert! provides fast star detection driven frame ranking with adjustable alignment point selection for high throughput quality selection.
Comet-to-star motion handling with controllable blending modes
Nebulosity includes comet stacking modes that separate star motion and non-stellar motion with controllable blending for comet-to-star results. Astroart adds comet-focused stacking mode handling that blends comet and star components using a mode-specific workflow.
FITS and 16-bit output workflow continuity
AstroSurface works directly with FITS workflows and preserves 16-bit output detail through star-mask guided stacking and blending. Adobe Photoshop supports 16-bit TIFF adjustment layer workflows for finishing after external stacking and registration.
How to choose star stacking software by control depth and workflow fit
Start with whether star-aware separation should be implicit through synthesis or explicit through extraction and blending controls. AstroSurface targets star-mask driven synthesis that suppresses halos, while PixInsight targets star mask driven separation with explicit rejection and blending parameters.
Then decide how the workflow should behave across many datasets. Siril prioritizes parameterized batch execution through command scripting, while SharpCap prioritizes an integrated capture-to-stack loop with live star detection and incremental stacking for on-the-fly quality checks.
Pick the star separation control style
Choose AstroSurface when star masks should drive synthesis that reduces halos while keeping tight star cores, especially for frequent star-aware output across calibrated light frames. Choose PixInsight when explicit star mask driven separation with rejection and blending parameters is needed for repeatable star-only extraction and blending.
Decide whether registration tuning is interactive or batch-driven
Choose RegiStax when precise visual control over alignment points matters more than hands-off unattended processing. Choose Siril when repeatable star stacking batches must run from command scripts with adjustable parameters and tracked command history.
Choose the alignment precision engine based on dataset variability
Choose PixInsight when entropy-based registration with sub-pixel alignment controls helps star matching across varying field conditions. Choose AstroSurface when star-mask driven behavior should carry alignment and halo control in a single workflow stage.
Match comet handling to the blending goal
Choose Nebulosity when comet-to-star blending requires comet stacking modes that separate star motion and non-stellar motion with controllable blending. Choose Astroart when targeted comet stacking needs mode-specific handling of comet and star blending in one user workflow.
Select an automation philosophy that matches capture workflow
Choose SharpCap when live star detection and incremental stacking inside the capture window reduces export and re-import steps during sessions. Choose AutoStakkert! when fast star detection driven frame ranking and straightforward alignment workflow are more useful than multi-stage graph-style batch control.
Who benefits from specific star stacking control approaches
Astrophotographers with consistent camera stacks benefit from automation features that standardize star detection thresholds and blending parameters across datasets. Dedicated star-aware separation tools also reduce the amount of manual halo cleanup after stacking.
Other workflows prioritize interactive alignment tuning during capture or alignment preview. Comet-focused processing benefits those who need mode-specific comet-to-star blending rather than treating comet trails as generic motion blur.
FITS-first astrophotography workflows that must preserve 16-bit output detail
AstroSurface is built around FITS workflows and uses star-mask driven synthesis that keeps tight star cores with reduced halos. Adobe Photoshop becomes a finishing stage when the pipeline already handles alignment and then needs non-destructive layer-based star and background refinement.
Batch processors who run the same star stacking recipe across many nights
Siril offers command scripting and command history so parameterized star stacking runs stay repeatable across datasets. AutoStakkert! supports fast star detection driven frame ranking when throughput matters more than deep multi-stage control.
Astrophotographers who need explicit control over star-only extraction and blending parameters
PixInsight uses star mask driven workflows for consistent star-only extraction and blending with explicit rejection and blending controls. Nebulosity pairs motion-aware comet stacking modes with controllable blending when star-only blending must coexist with non-stellar motion.
Comet imagers who frequently produce comet-to-star style results
Nebulosity provides comet stacking modes that separate star motion and non-stellar motion and then apply blending controls for comet-to-star output. Astroart supports a comet stacking workflow that blends comet and star components with mode-specific handling.
Users who tune alignment points through immediate visual feedback
RegiStax places adjustable alignment point selection in an interactive session with immediate visual feedback and frame rejection to reduce outliers. RegiStar supports star-based alignment tuned for repeatable registration across many light frames with batch orientation and practical controls.
Common star stacking pitfalls that show up as halos, blur, and inconsistent results
Star stacking failures usually originate in star detection threshold tuning and how that choice propagates into star mask generation. Halo growth often tracks overly permissive star masks or star detection thresholds that treat crowded fields and faint stars inconsistently across frames.
Another recurring issue is assuming automation depth is interchangeable across tools. Some tools provide command-driven repeatability while others emphasize interactive tuning or live capture-to-stack behavior, so workflow expectations must match what each product actually automates.
Using one star detection threshold value for every dataset and then expecting stable halo behavior
Siril and AstroSurface both rely on star detection threshold behavior that can require dataset-specific tuning, especially with crowded fields. PixInsight also depends on star mask driven separation behavior that changes with setup complexity and parameter choices, so threshold choices must match the dataset.
Treating interactive alignment tools as if they provide unattended batch automation at pipeline depth
RegiStax focuses on interactive alignment refinement with adjustable alignment points in the same session and it has limited batch automation and API surface. SharpCap provides an integrated capture-to-stack loop with continuous star detection but stacking control depth is thinner than tools built around dedicated registration and normalization workflows.
Handling comet trails with a standard star-only blending workflow
Nebulosity uses comet stacking modes that separate star motion from non-stellar motion with controllable blending, so it better matches comet-to-star goals. AutoStakkert! and RegiStax have weaker comet and trail workflows compared with specialized comet stacking tools, so comet blending results can suffer.
Assuming Photoshop can replace star alignment and sigma-clipping stacking
Adobe Photoshop provides non-destructive masking and adjustment layers for refining star halos and background gradients after external stacking, but it does not provide built-in astrophotography star alignment and sigma-clipping stacking workflow. Tools like PixInsight or AstroSurface are more suitable when star detection, star mask generation, and blending or rejection controls must happen inside the stacking pipeline.
How We Selected and Ranked These Tools
We evaluated AstroSurface, Siril, PixInsight, Nebulosity, RegiStax, Astroart, SharpCap, Adobe Photoshop, RegiStar, and AutoStakkert! Using feature coverage at 40%, then ease and value at 30% each. Star mask generation impact on halo control and star-core preservation carried heavy weight because AstroSurface ties star mask synthesis directly to final halo behavior.
Integration depth and workflow continuity were assessed by how each tool handles FITS and 16-bit outputs and how it supports repeatable processing, such as Siril command scripting and PixInsight registration and star mask driven blending. AstroSurface separated itself with star-mask-driven synthesis behavior that reduces halos while keeping tight star cores and with FITS-first workflow continuity that preserves 16-bit output detail.
Frequently Asked Questions About star stacking software
How do AstroSurface and Siril differ in how they generate and apply star masks for stacking?
Which tool provides a module graph for repeatable star alignment and integration control: PixInsight or Siril?
When is Nebulosity better than RegiStax for comet-to-star workflows and blending behavior?
What breaks if an astrophotography workflow skips calibration steps before star stacking in Siril versus PixInsight?
Which alignment approach fits workflows that depend on entropy-based methods: PixInsight or RegiStax?
How does SharpCap handle incremental stacking compared with AutoStakkert! for star selection and quality monitoring?
What tradeoff occurs when using RegiStar for large FITS subsets instead of using Siril’s scripted batches?
How do Astroart and AstroSurface handle comet stacking mode compositing, and what limitation can appear?
What security and workflow implications arise when using Photoshop for star stacking compared with tools like PixInsight and Siril?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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