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Macrostack open alternatives — 387 rows, 2026-09-05
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---
license: cc-by-4.0
language:
- en
pretty_name: Macrostack Open Alternatives
size_categories:
- n<1K
task_categories:
- tabular-classification
tags:
- open-source
- self-hosting
- software-alternatives
- cloud
- licensing
- vendor-lock-in
configs:
- config_name: default
data_files:
- split: train
path: data/alternatives.csv
---
# Macrostack Open Alternatives
**387 verified open-source and self-hostable alternatives** to
85 proprietary products, across 78 categories and the
five layers of the AI and cloud stack.
Maintained at **[macrostack.net](https://www.macrostack.net)**. Data version `2026-09-05`.
## What makes this different from a listicle
Every licence is read from the project's own `LICENSE` file rather than from a
marketing page. That sounds like a small distinction and it is not: vendors
routinely describe source-available and business-source licences as "open
source", and a dataset that repeats the marketing is worse than no dataset.
Each row also carries what a person actually needs in order to decide:
- **`self_hostable`** — can you run it yourself at all
- **`local_first`** — does it work with no network
- **`pricing`** — the shape of the cost, not a number that rots
- **`sovereignty_score`** — a transparent 0–100 score for how much control you keep
- **`stack_layer`** — where it sits, L1 chips through L5 applications
Of 387 entries, **295 are open source** and
**311 are self-hostable**.
## Columns
| Column | Meaning |
|---|---|
| `alternative` | The open or self-hostable option |
| `replaces` | The proprietary product it is an alternative to |
| `vendor_replaced` | Who sells that product |
| `category`, `category_slug` | The decision category |
| `stack_layer`, `stack_layer_name` | L1 chips → L5 applications |
| `license` | SPDX identifier, read from the project's own LICENSE |
| `open_source` | True only for an OSI-approved licence |
| `self_hostable` | Can be run on your own infrastructure |
| `local_first` | Works without a network connection |
| `sovereignty_score` | 0–100, how much control you retain |
| `recommended` | Our pick in that category |
| `pricing` | free · freemium · paid · usage |
| `kind` | software · service · hardware |
| `website`, `repo`, `docs` | Canonical links |
| `last_verified` | When a human last checked the row |
| `source_page` | The page on macrostack.net this row is rendered on |
## Use it
```python
from datasets import load_dataset
ds = load_dataset("Macrostack/macrostack-open-alternatives", split="train")
# Self-hostable options that are genuinely open source
open_selfhost = ds.filter(lambda r: r["open_source"] and r["self_hostable"])
print(len(open_selfhost))
```
Straight from the source, always current:
```bash
curl -sL https://www.macrostack.net/data/macrostack-alternatives.csv
```
## Licence and attribution
**CC-BY-4.0.** You may use this commercially. Attribution is a condition of the
licence, and it must include a link:
> Data from [Macrostack](https://www.macrostack.net) — CC-BY-4.0
## Method and limits
The full method is at [https://www.macrostack.net/methodology](https://www.macrostack.net/methodology).
Worth stating plainly:
- **`sovereignty_score` is our judgement**, not a measurement. The inputs are
documented; the weighting is a considered opinion and you may disagree with it.
- **`recommended` is a single pick per category** and never reflects a
commercial relationship. Several top-ranked entries here have no affiliate
programme at all, which is the point.
- **`pricing` is a shape, not a price.** Real prices change faster than any
dataset can track, so we record the model instead.
- **Coverage is deliberately narrow.** Infrastructure, developer tooling, AI and
business software. Not consumer apps, not games.
Corrections are welcome — every row links to the page it came from.