What program is best for astrophotography stacking?
It depends what you’re stacking. 😄
Deep-sky stacks, nightscapes, and planetary “lucky imaging” are basically three different sports wearing the same jersey.
Picking astrophotography stacking software is less “best overall” and more “best for what you’re actually shooting.” Deep-sky stacking, Milky Way landscapes, and planetary lucky imaging all want different tools, because the problems are different.
Here’s the practical answer I’d give a friend who wants results fast:
- Deep-sky (nebulae/galaxies): Siril is the best all-around choice for most people (free, powerful, not a toy).
- Deep-sky but ultra beginner-friendly on Windows: DeepSkyStacker is still the “load files → press go → get a stack” classic.
- Deep-sky and you want maximum control + scalability: PixInsight (WBPP) is the “I’m serious and I do this a lot” route.
- Nightscapes (Milky Way + foreground): Sequator (Windows) or Starry Landscape Stacker (Mac) because they’re designed around sky alignment while keeping the foreground usable.
- Planets/Moon: AutoStakkert! for stacking, then sharpen (a lot of people still like RegiStax wavelets for that final bite).
What stacking actually does (without the math headache)
Stacking is basically your camera’s way of admitting: “I can’t collect enough clean signal in one shot.” So you take many shots and let software do four jobs:
- Calibration: removes sensor junk (hot pixels, amp glow), dust donuts, and vignetting so your final image isn’t “stacked problems.”
- Alignment: lines up stars or the planet frame-by-frame so the subject stays sharp even if your tracking isn’t perfect.
- Integration: combines frames in a way that reduces random noise and boosts real detail.
- Rejection: throws out outliers like planes, satellites, random flicker, or a gust of wind that made a few subs soft.
If your stacked image looks worse than a single frame, it’s usually one of these: bad calibration, bad alignment, mixing wildly different quality frames, or pushing sharpening before the signal is actually there.
The real decision: what are you stacking?
Deep-sky stacking (nebulae, galaxies, clusters)
Deep-sky is a calibration-and-consistency game. Your best tool is the one that makes it easy to do “boring” steps correctly every time: lights + darks + flats + bias (or dark-flats), then register, then integrate.
Siril is fantastic here because it encourages a structured workflow without feeling like you need a PhD. It also scales nicely from “I’m new” to “I’m stacking multi-night data.”
DeepSkyStacker is still popular because it’s straightforward and fast to get your first real stack. It’s the easiest way to feel the dopamine of “oh wow, the nebula is actually there.”
PixInsight is what you pick when you want the knobs. It’s not just stacking — it’s an entire processing ecosystem — and it shines when you care about repeatability, batch workflows, and squeezing the last 5–10% out of data.
Milky Way landscapes (sky + foreground)
Nightscapes are tricky because the sky moves but the foreground doesn’t. If you align on stars, the foreground smears. If you align on foreground, stars trail.
That’s why Sequator and Starry Landscape Stacker exist. They’re built around the reality that you often want: clean sky noise reduction + a foreground that stays believable.
Planetary stacking (lucky imaging)
Planets are the opposite of deep-sky. You’re not stacking long exposures — you’re stacking thousands of short frames and letting the software pick the sharpest ones. AutoStakkert! is popular because it’s designed for exactly that: frame quality sorting + alignment + stacking.
Then you sharpen. This is where people go from “soft marshmallow Jupiter” to “wait, I can see bands.”
Comparison table (quick workflow fit 😈)
| Software | Best for | Skill level | Why it’s great | What it’s not great at |
|---|---|---|---|---|
| Siril | Deep-sky stacking | Beginner → advanced | Structured pipeline, strong results, grows with you | Doesn’t “babysit” you like a wizard app |
| DeepSkyStacker | Deep-sky stacking | Beginner | Very approachable, fast to first success | Less flexible for complex/multi-night workflows |
| ASTAP | Deep-sky stacking + plate solving | Beginner → intermediate | Lightweight, practical, efficient | UI is utilitarian, not “pretty” |
| PixInsight (WBPP) | Deep-sky stacking at scale | Intermediate → advanced | Maximum control, batch power, serious output | Time investment + learning curve |
| Astro Pixel Processor | Deep-sky stacking, multi-session/mosaics | Intermediate | Workflow-oriented, great for big projects | Paid, and you’ll want to learn its “way” |
| Sequator | Nightscapes | Beginner | Sky stacking with foreground-friendly logic | Windows-only, niche focus |
| Starry Landscape Stacker | Nightscapes | Beginner | Built specifically for landscapes + stars | Mac-only, niche focus |
| AutoStakkert! | Planetary | Beginner → advanced | Frame selection + stacking for planets | Not for deep-sky still frames |
| RegiStax | Planetary sharpening | Beginner | Wavelet sharpening is still a vibe | Not a modern deep-sky stacker |
My experience (painfully realistic)
When I first got serious about stacking, I did the classic thing: I had 120 “lights” and exactly zero patience. I threw them into a stacker, hit go, and got… a gray blob with a weird gradient and a constellation of dust donuts.
Here’s what actually happened:
- My flats were wrong. I shot them at a different focus position and exposure was inconsistent, so the correction made the corners uglier instead of cleaner.
- I stacked everything, including frames where tracking hiccuped for half a second. Those soft frames quietly blurred the entire result.
- I tried to “fix it in post” with aggressive contrast and sharpening before the data was clean, which amplified noise into crunchy nonsense.
The fix wasn’t a new app. The fix was a workflow:
- I reshot flats properly (same focus, consistent illumination, correct exposure range).
- I culled the worst subs instead of being emotionally attached to my frame count.
- I did a simple two-pass process: first get a clean, neutral stack; only then push the look.
Once I did that, stacking became predictable. That’s the moment it clicked: good stacking is boring, and boring is profitable (in time and sanity).
A stacking workflow that improves results immediately
- Shoot more frames than you think you need
More frames gives the software enough “vote power” to average out noise and reject junk. Ten frames stacks… but it doesn’t transform. - Calibrate like you mean it (especially flats)
Flats aren’t optional if you want clean backgrounds. If you skip flats, you’ll spend your life battling gradients and corner weirdness. - Dither if you’re on a tracker
Dithering is a tiny intentional shift between subs. It breaks up fixed-pattern noise so stacking can cancel it instead of reinforcing it. - Cull bad subs without guilt
If some frames are bloated, smeared, or hazy, they drag the entire stack down. A smaller stack of good frames often beats a giant stack of mixed quality. - Don’t “look dev” before you have signal
Cranking contrast and sharpening early makes you think you’re improving detail, but you’re often just sculpting noise.
The cheat sheet: what you should use?
- New to deep-sky and want a strong free tool → Siril
- Windows user who wants the easiest deep-sky on-ramp → DeepSkyStacker
- Doing multi-night projects and want full control → PixInsight (WBPP) or Astro Pixel Processor
- Milky Way landscapes → Sequator (Windows) / Starry Landscape Stacker (Mac)
- Planets → AutoStakkert! (then sharpen after)
Conclusion
The best astrophotography stacking software is the one that matches your target and makes you repeat the right steps without friction.
If you’re doing deep-sky, start with Siril (or DeepSkyStacker if you want the simplest Windows route). If you fall in love with the hobby and start shooting multi-night data, graduate to PixInsight or APP. If you’re doing planets, don’t force a deep-sky tool to do a planetary job — use AutoStakkert! and move on with your life.
Stacking isn’t about finding the “perfect” program. It’s about building a boring, repeatable pipeline that turns weak signal into clean detail. And yes, that pipeline will make you feel smug when your old images suddenly look… fixable. 🌌