Datasets:
Macrostack open alternatives — 387 rows, 2026-09-05
Browse files- README.md +112 -0
- data/alternatives.csv +0 -0
- data/alternatives.json +0 -0
README.md
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---
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license: cc-by-4.0
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language:
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- en
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pretty_name: Macrostack Open Alternatives
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size_categories:
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- n<1K
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task_categories:
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- tabular-classification
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tags:
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- open-source
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- self-hosting
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- software-alternatives
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- cloud
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- licensing
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- vendor-lock-in
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/alternatives.csv
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---
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# Macrostack Open Alternatives
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**387 verified open-source and self-hostable alternatives** to
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85 proprietary products, across 78 categories and the
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five layers of the AI and cloud stack.
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Maintained at **[macrostack.net](https://www.macrostack.net)**. Data version `2026-09-05`.
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## What makes this different from a listicle
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Every licence is read from the project's own `LICENSE` file rather than from a
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marketing page. That sounds like a small distinction and it is not: vendors
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routinely describe source-available and business-source licences as "open
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source", and a dataset that repeats the marketing is worse than no dataset.
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Each row also carries what a person actually needs in order to decide:
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- **`self_hostable`** — can you run it yourself at all
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- **`local_first`** — does it work with no network
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- **`pricing`** — the shape of the cost, not a number that rots
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- **`sovereignty_score`** — a transparent 0–100 score for how much control you keep
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- **`stack_layer`** — where it sits, L1 chips through L5 applications
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Of 387 entries, **295 are open source** and
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**311 are self-hostable**.
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## Columns
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| Column | Meaning |
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|---|---|
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| `alternative` | The open or self-hostable option |
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| `replaces` | The proprietary product it is an alternative to |
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| `vendor_replaced` | Who sells that product |
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| `category`, `category_slug` | The decision category |
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| `stack_layer`, `stack_layer_name` | L1 chips → L5 applications |
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| `license` | SPDX identifier, read from the project's own LICENSE |
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| `open_source` | True only for an OSI-approved licence |
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| `self_hostable` | Can be run on your own infrastructure |
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| `local_first` | Works without a network connection |
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| `sovereignty_score` | 0–100, how much control you retain |
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| `recommended` | Our pick in that category |
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| `pricing` | free · freemium · paid · usage |
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| `kind` | software · service · hardware |
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| `website`, `repo`, `docs` | Canonical links |
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| `last_verified` | When a human last checked the row |
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| `source_page` | The page on macrostack.net this row is rendered on |
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## Use it
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```python
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from datasets import load_dataset
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ds = load_dataset("Macrostack/macrostack-open-alternatives", split="train")
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# Self-hostable options that are genuinely open source
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open_selfhost = ds.filter(lambda r: r["open_source"] and r["self_hostable"])
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print(len(open_selfhost))
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```
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Straight from the source, always current:
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```bash
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curl -sL https://www.macrostack.net/data/macrostack-alternatives.csv
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```
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## Licence and attribution
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**CC-BY-4.0.** You may use this commercially. Attribution is a condition of the
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licence, and it must include a link:
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> Data from [Macrostack](https://www.macrostack.net) — CC-BY-4.0
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## Method and limits
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The full method is at [https://www.macrostack.net/methodology](https://www.macrostack.net/methodology).
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Worth stating plainly:
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- **`sovereignty_score` is our judgement**, not a measurement. The inputs are
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documented; the weighting is a considered opinion and you may disagree with it.
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- **`recommended` is a single pick per category** and never reflects a
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commercial relationship. Several top-ranked entries here have no affiliate
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programme at all, which is the point.
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- **`pricing` is a shape, not a price.** Real prices change faster than any
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dataset can track, so we record the model instead.
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- **Coverage is deliberately narrow.** Infrastructure, developer tooling, AI and
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business software. Not consumer apps, not games.
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Corrections are welcome — every row links to the page it came from.
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data/alternatives.csv
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data/alternatives.json
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See raw diff
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