50 Games Like Into the Breach

The complete collection of XCOM 2. It includes the War of the Chosen expansion and all 4 DLC packs.

Tactical Rogue-like Combat. Turn-Based and Real-Time strategy sci-fi adventure. Nova-111 embarks on a journey to recover the 111 scientists scattered through it's alien worlds. Explore, battle and solve clever puzzles in the name of SCIENCE.

Chroma Squad is a tactical RPG about five stunt actors who decide to quit their jobs and start their own Power Rangers-inspired TV show! Customize your TV studio: hire actors, upgrade your gear, do marketing, craft weapons, costumes and giant cardboard robots!.

Early Access

An epic RPG inspired by old-school classics like Ultima and Wizardry, using modern gaming concepts like deckbuilding and turn-based strategic combat. Lead and nurture parties of heroes. Forge bonds and discover new skills among them. Journey forth and unravel the ancient curses set upon your land.

Star Renegades is a dimension spanning rogue-lite strategy RPG. Outsmart uniquely generated adversaries, forge bonds between heroes and end the cycle!

The worms are back in their most destructive game yet. With a gorgeous, hand-drawn 2D look, brand new weapons, the introduction of crafting, vehicles and buildings plus the return of some much-loved classic weapons and gameplay, Worms W.M.D is the best worms experience ever.

Following the critically acclaimed 2014 Game of the Year winner Wasteland 2, the RPG series that pioneered the post-apocalyptic genre in video games returns with Wasteland 3.

AD 673. Camelot has fallen. The Round Table must rally to save King Arthur. Narrative strategy game from the creators of 80 DAYS, with elegant tactics and a unique, dynamic story every time you replay.

As Humanity’s last hope, lead your army to combat in an intricate dance of spectacular actions and counters, using an original Dynamic Timeline System, and face fearsome bosses in epic battles.

Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/sumy/nlp/tokenizers.py", line 81, in _get_sentence_tokenizer return nltk.data.load(path) File "/usr/local/lib/python3.7/dist-packages/nltk/data.py", line 752, in load opened_resource = _open(resource_url) File "/usr/local/lib/python3.7/dist-packages/nltk/data.py", line 877, in _open return find(path_, path + [""]).open() File "/usr/local/lib/python3.7/dist-packages/nltk/data.py", line 585, in find raise LookupError(resource_not_found) LookupError: ********************************************************************** Resource punkt not found. Please use the NLTK Downloader to obtain the resource: >>> import nltk >>> nltk.download('punkt')  For more information see: https://www.nltk.org/data.html Attempted to load tokenizers/punkt/PY3/english.pickle Searched in: - '/root/nltk_data' - '/usr/nltk_data' - '/usr/share/nltk_data' - '/usr/lib/nltk_data' - '/usr/share/nltk_data' - '/usr/local/share/nltk_data' - '/usr/lib/nltk_data' - '/usr/local/lib/nltk_data' - '' ********************************************************************** During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/local/bin/sumy-3.7", line 10, in sys.exit(main()) File "/usr/local/lib/python3.7/dist-packages/sumy/__main__.py", line 68, in main summarizer, parser, items_count = handle_arguments(args) File "/usr/local/lib/python3.7/dist-packages/sumy/__main__.py", line 109, in handle_arguments parser = parser(document_content, Tokenizer(language)) File "/usr/local/lib/python3.7/dist-packages/sumy/nlp/tokenizers.py", line 69, in __init__ self._sentence_tokenizer = self._get_sentence_tokenizer(tokenizer_language) File "/usr/local/lib/python3.7/dist-packages/sumy/nlp/tokenizers.py", line 84, in _get_sentence_tokenizer "NLTK tokenizers are missing. Download them by following command: " LookupError: NLTK tokenizers are missing. Download them by following command: python -c "import nltk; nltk.download('punkt')"

MechCorp. is a turn-based-tactics/strategy game where you take command of a mercenary mech squadron in space. Decide which battles to fight and what contracts to pursue while managing every aspect of the squad including mech lineup, crew management, research and production.

Fire Emblem Fates is split into 3 story paths. Birthright is one of the 2 base stories, the other being Conquest. The other story path can be bought digitally at a discount through the in-game store. The 3rd story path is Revelation, a DLC that was released later. You need to be have completed chapter 6 in either game to access the other stories, and the DLCs, path. Birthright is the easier path as it has the ability to use scouting missions to grind experience and money, simpler mission objectives, and the missions give greater amounts of experience and money.

BUMBLEBEE and the Autobots have a new commander – you. Assemble your squad and roll out for battle against the Decepticons... and team up in local multiplayer!

Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/sumy/nlp/tokenizers.py", line 81, in _get_sentence_tokenizer return nltk.data.load(path) File "/usr/local/lib/python3.7/dist-packages/nltk/data.py", line 752, in load opened_resource = _open(resource_url) File "/usr/local/lib/python3.7/dist-packages/nltk/data.py", line 877, in _open return find(path_, path + [""]).open() File "/usr/local/lib/python3.7/dist-packages/nltk/data.py", line 585, in find raise LookupError(resource_not_found) LookupError: ********************************************************************** Resource punkt not found. Please use the NLTK Downloader to obtain the resource: >>> import nltk >>> nltk.download('punkt')  For more information see: https://www.nltk.org/data.html Attempted to load tokenizers/punkt/PY3/english.pickle Searched in: - '/root/nltk_data' - '/usr/nltk_data' - '/usr/share/nltk_data' - '/usr/lib/nltk_data' - '/usr/share/nltk_data' - '/usr/local/share/nltk_data' - '/usr/lib/nltk_data' - '/usr/local/lib/nltk_data' - '' ********************************************************************** During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/local/bin/sumy-3.7", line 10, in sys.exit(main()) File "/usr/local/lib/python3.7/dist-packages/sumy/__main__.py", line 68, in main summarizer, parser, items_count = handle_arguments(args) File "/usr/local/lib/python3.7/dist-packages/sumy/__main__.py", line 109, in handle_arguments parser = parser(document_content, Tokenizer(language)) File "/usr/local/lib/python3.7/dist-packages/sumy/nlp/tokenizers.py", line 69, in __init__ self._sentence_tokenizer = self._get_sentence_tokenizer(tokenizer_language) File "/usr/local/lib/python3.7/dist-packages/sumy/nlp/tokenizers.py", line 84, in _get_sentence_tokenizer "NLTK tokenizers are missing. Download them by following command: " LookupError: NLTK tokenizers are missing. Download them by following command: python -c "import nltk; nltk.download('punkt')"

Play as the Hero as he is dropped into the Hero Simulation Machine MKI and take-on a tower full of puzzles and monsters. Equip a variety of tools and weapons found in chests on each floor, that have limited uses and reset every floor, giving each one a unique challenge.

"A departure from the studio’s traditional fantasy style, the game takes place in a modern setting punctuated with giant mechs. Although the world may be bleak, Vanillaware’s signature artistic shine and gorgeous aesthetics will bring the characters and story of 13 Sentinels to life."

Multiplayer strategy game with tactical turn-based battles. Lead a fireteam of Battle Mechs, improve specialization of pilots, install equipment and weapons. Production, researching and trading. Dueling, PvP arena and co-op up to 4 players.